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Tatsumi Keiji

巽　啓司

Graduate School of Engineering　Division of Electrical, Electronic and Information Engineering, Associate Professor

keyword Support vector machine，Global optimization，Chaos dynamics

Education

  • 1996/10 - 1998/03, Kyoto University
  • 1995/04 - 1996/09, Nara Institute of Science and Technology, Graduate School of Information Science
  • 1993/04 - 1995/03, Nara Institute of Science and Technology, Graduate School of Information Science
  • 1989/04 - 1993/03, Kyoto University, Faculty of Engineering

Research History

  • 2009/05 - Present, Osaka University, Division of Electrical, Electronic, and Information Engineering, Graduate School of Engineering, Associate Professor
  • 2007/04 - 2009/04, Osaka University, Division of Electrical, Electronic, and Information Engineering, Graduate School of Engineering, Assistant Professor
  • 1998/04 - 2007/03, Osaka University

Research Areas

  • Informatics, Soft computing
  • Manufacturing technology (mechanical, electrical/electronic, chemical engineering), Control and systems engineering
  • Informatics, Intelligent informatics

Professional Memberships

  • IEEE
  • システム制御情報学会
  • 日本オペレーションズ・リサーチ学会

Papers

  • Shift-Invariant Grey Wolf Optimizer Exploiting Reference Points and Random Selection of Step-Sizes, Keiji Tatsumi,Nao Kinoshita, Proc. of 2022 SICE Annual Conference, 2022/09
  • Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines, Keiji Tatsumi,Shunsuke Tsujioka,Ryota Masui,Yoshifumi Kusunoki,Yeboon Yun, Knowledge-Based Systems, Elsevier BV, Vol. 249, p. 108807-108807, 2022/08
  • Transductive Learning Based on Low-Rank Representation with Convex Constraints, Yoshifumi Kusunoki,Katsuhiko Kojima,Keiji Tatsumi, Lecture Notes in Computer Science, Springer International Publishing, p. 291-301, 2022
  • Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics, Keiji Tatsumi,Ryota Masui,Shunsuke Tsujioka,Yoshifumi Kusunoki,Yeboon Yun, Proc. of 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE, 2021/10
  • Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors, Katsuhiko Kojima,Yoshifumi Kusunoki,Keiji Tatsumi, Proceedings of IEEE SMC 2020, 2020/10
  • Chaotic Particle Swarm Optimization Using a Rotation Transformation Based on Two Best Solutions, Nao Kinoshita,Keiji Tatsumi, Proceedings of IEEE SMC 2020, 2020/10
  • Adaptive Stepsize Rule for Consensus Optimization by Supervisory Control Architecture, Yoshifumi Kusunoki,Naoki Hayashi,Takeshi Hatanaka,Keiji Tatsumi, Transactions of the Institute of Systems, Control and Information Engineers, The Institute of Systems, Control and Information Engineers, Vol. 32, No. 9, p. 338-348, 2019/09/15
  • Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm, Yoshifumi Kusunoki,Keiji Tatsumi, Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, p. 698-705, 2019/09
  • Soft-margin Approximate Multi-objective Support Vector Machine Using Reference Point Method, Keiji Tatsumi,Stephan Matzke,Yasuhiro Matsugi,Yoshifumi Kusunoki, 2019/09
  • Refinement of Convergence Analysis for Consensus Optimization Algorithm with Adaptive Stepsize Rule, Yoshifumi Kusunoki,Naoki Hayashi,Takeshi Hatanaka,Keiji Tatsumi, Proceedings of the SICE Annual Conference 2019, p. 1293-1296, 2019/09
  • A Software Level Calibration Based on Bayesian Regression for a Successive Stochastic Approximation Analog-to-digital Converter System, Keiji Tatsumi,Toshimasa Matsuoka, IEEE Transactions on Cybernetics, Vol. 49, No. 4, p. 1200-1211, 2019/04
  • Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-means Clustering, Keiji Tatsumi,Takahumi Sugimoto,Yoshifumi Kusunoki, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11471 LNAI, p. 271-283, 2019/03
  • A Biomedical Sensor System with Stochastic A/D Conversion and Error Correction by Machine Learning, Yusaku Hirai,Toshimasa Matsuoka,Sadahiro Tani,Shodai Isami,Keiji Tatsumi,Masayuki Ueda,Takatsugu Kamata, IEEE Access, Vol. 7, p. 21990-22001, 2019/01
  • Modified Perturbation-based Chaotic System Using the Quasi-Newton Method with the Symmetric Rank-one Formula for Global Optimization, Keiji Tatsumi, Proceedings of 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), p. 3335-3340, 2018/10
  • Approximate Multiobjective Multiclass SVM by Using the Reference Point Method, Yasuhiro Matsugi,Takafumi Sugimoto,Yuxiao Qi,Yoshifumi Kusunoki,Keiji Tatsumi, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, p. 3535-3540, 2018/10
  • A Modification of Perturbation-based Chaotic System Using Quasi-Newton method for Global Optimization, Kei Kouno,Kousuke Ise,Keiji Tatsumi, SICE Annual Conference 2018, p. 1710-1713, 2018/09
  • A Perturbation-Based Chaotic Particle Swarm Optimization Searching Around Multiple Personal Best Solutions, Tomoki Kuwabara,Haruhiko MineokaI,Keiji Tatsumi, SICE Journal of Control, Measurement, and System Integration, Vol. 11, No. 4, p. 349-356, 2018/08
  • Maximum-margin Model for Nearest Prototype Classifiers, Yoshifumi Kusunoki,Chiharu Wakou,Keiji Tatsumi, Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 22, p. 565-577, 2018/07
  • A Multi-class Support Vector Machine Based on Geometric Margin Maximization, Yoshifumi Kusunoki,Keiji Tatsumi, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, Vol. 10758, p. 101-113, 2018
  • Behavior-level analysis of a successive stochastic approximation analog-to-digital conversion system for multi-channel biomedical data acquisition, Sadahiro Tani,Toshimasa Matsuoka,Yusaku Hirai,Toshifumi Kurata,Keiji Tatsumi,Tomohiro Asano,Masayuki Ueda,Takatsugu Kamata, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Institute of Electronics, Information and Communication, Engineers, IEICE, Vol. E100A, No. 10, p. 2073-2085, 2017/10/01
  • A calibration with an adaptive data selection based on Bayes estimation for a successive stochastic approximation ADC system, Keiji Tatsumi,Toshimasa Matsuoka,Sadahiro Tani, IFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, Institute of Electrical and Electronics Engineers Inc., 2017/08/30
  • An analog front-end employing 87 dB SNDR stochastic SAR-ADC for a biomedical sensor, Takatsugu Kamata,Masayuki Ueda,Yusaku Hirai,Sadahiro Tani,Tomohiro Asano,Shodai Isami,Toshifumi Kurata,Keiji Tatsumi,Toshimasa Matsuoka, Proceedings - 2017 IEEE 15th International New Circuits and Systems Conference, NEWCAS 2017, Institute of Electrical and Electronics Engineers Inc., p. 301-304, 2017/08/11
  • A Weaker Sufficient Condition for the Chaoticity of Extended Perturbation-Based Updating System for Global Optimization, Keiji Tatsumi, INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, WORLD SCIENTIFIC PUBL CO PTE LTD, Vol. 27, No. 6, p. 1750085-1-1750085-24, 2017/06
  • Learning prototype-based classifiers by margin maximization, Chiharu Wakou,Yoshifumi Kusunoki,Keiji Tatsumi, 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSA-SCIS), IEEE, 2017/06
  • A Perturbation Based Chaotic System Exploiting the Quasi-Newton Method for Global Optimization, Keiji Tatsumi,Tetsuzo Tanino, INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS, WORLD SCIENTIFIC PUBL CO PTE LTD, Vol. 27, No. 4, p. 1750047-1-1750047-23, 2017/04
  • Transductive Learning Using Feature Spaces Provided by Semidefinite Programmings, Yoshifumi Kusunoki,Keigo Iwasa,Keiji Tatsumi, PROCEEDINGS OF THE 20TH CZECH-JAPAN SEMINAR ON DATA ANALYSIS AND DECISION MAKING UNDER UNCERTAINTY, UNIV OSTRAVA, p. 88-93, 2017
  • A multiobjective multiclass support vector machine restricting classifier candidates based on k-means clustering, Keiji Tatsumi,Yuki Kawashita,Takahumi Sugimoto, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Verlag, Vol. 10634, p. 297-304, 2017
  • Incremental Learning for a Calibration of a High-precision SAR-ADC by using the Inverse Calibration and Bayesian Regression, Keiji Tatsumi,Toshimasa Matsuoka,Sadahiro Tani, Vol. 29, No. 3, p. 136-142, 2016/03
  • Incremental learning for a calibration of a high-precision SAR-ADC by using the Bayesian Linear Regression, Toshifumi Kurata,Keiji Tatsumi,Tetsuzo Tanino,Yusaku Hirai,Toshimasa Matsuoka,Sadahiro Tani, Transactions of the Institute of Systems, Control and Information Engineers, Vol. 29, No. 2, p. 76-85, 2016/02
  • Row and column generation algorithm for maximization of minimum margin for ranking problems, Yoichi Izunaga,Keisuke Sato,Keiji Tatsumi,Yoshitsugu Yamamoto, Operations Research Proceedings 2014, Springer, p. 249-255, 2016
  • Particle swarm optimization with stochastic selection of perturbation-based chaotic updating system, Keiji Tatsumi,Takeru Ibuki,Tetsuzo Tanino, APPLIED MATHEMATICS AND COMPUTATION, ELSEVIER SCIENCE INC, Vol. 269, p. 904-929, 2015/10
  • Row and column generation algorithms for minimum margin maximization of ranking problems, Yoichi Izunaga,Keisuke Sato,Keiji Tatsumi,Yoshitsugu Yamamoto, Journal of the Operations Research Society of Japan, Operations Research Society of Japan, Vol. 58, No. 4, p. 394-409, 2015
  • Chaotic Multi-swarm Particle Swarm Optimization Using Combined Quartic Functions, Keiji Tatsumi,Takeru Ibuki,Tetsuzo Tanino, 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS, IEEE COMPUTER SOC, p. 2096-2101, 2015
  • Support vector machines maximizing geometric margins for multi-class classification, Keiji Tatsumi,Tetsuzo Tanino, TOP, SPRINGER, Vol. 22, No. 3, p. 815-840, 2014/10
  • A Calibration Algorithm for a High-Precision Analog-to-Digital Converter using a Machine Learning, Kurata Toshifumi,Tatsumi Keiji,Tanino Tetuzo,Hirai Yusaku,Matsuoka Toshimasa,Tani Sadahiro, Proceedings of the Japan Joint Automatic Control Conference, The Japan Joint Automatic Control Conference, Vol. 57, p. 1394-1397, 2014
  • Support vector machines maximizing geometric margins for multi-class classification, Keiji Tatsumi,Tetsuzo Tanino, TOP, Springer Verlag, Vol. 22, No. 3, p. 815-840, 2014/01/01
  • A Chaotic Particle Swarm Optimization Exploiting Snap-Back Repellers of a Perturbation-Based System, Satoshi Nakashima,Takeru Ibuki,Keiji Tatsumi,Tetsuzo Tanino, OPTIMIZATION AND CONTROL TECHNIQUES AND APPLICATIONS, SPRINGER-VERLAG BERLIN, Vol. 86, p. 237-253, 2014
  • A chaotic particle swarm optimization exploiting a virtual quartic objective function based on the personal and global best solutions, Keiji Tatsumi,Takeru Ibuki,Tetsuzo Tanino, APPLIED MATHEMATICS AND COMPUTATION, ELSEVIER SCIENCE INC, Vol. 219, No. 17, p. 8991-9011, 2013/05
  • A sufficient condition for chaos in the gradient model with perturbation method for global optimization, Keiji Tatsumi,Tetsuzo Tanino, International Journal of Bifurcation and Chaos, World Scientific Publishing Co. Pte Ltd, Vol. 23, No. 6, p. 1350102-1-1350102-21, 2013
  • Improved chaotic particle swarm optimization with a perturbation-based chaotic system for a virtual quartic function, Keiji Tatsumi,Takeru Ibuki,Satoshi Nakashima,Tetsuzo Tanino, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013, p. 208-213, 2013
  • Multi-Swarm Particle Swarm Optimization with an Adaptive Type Selection for Restarting Particles, Keiji Tatsumi,Takashi Yukami,Tetsuzo Tanino, Transactions of the Institute of Systems, Control and Information Engineers, THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), Vol. 25, No. 5, p. 105-116, 2012/05
  • Chaotic particle swarm optimization with an intensive search around the personal and global bests, Keiji Tatsumi,Takeru Ibuki,Tetsuzo Tanino, PROCEEDINGS 2012 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), IEEE, p. 1333-1338, 2012
  • Performance evaluation of multiobjective multiclass support vector machines maximizing geometric margins, Keiji Tatsumi,Masashi Akao,Ryo Kawachi,Tetsuzo Tanino, Numerical Algebra, Control and Optimization, Vol. 1, No. 1, p. 151-169, 2011/02
  • Nonlinear Extension of Multiobjective Multiclass Support Vector Machine Based on the One-against-all Method, Keiji Tatsumi,Masato Tai,Tetsuzo Tanino, 2011 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), IEEE, p. 1570-1576, 2011
  • Nonlinear Extension of Multiobjective Multiclass Support Vector Machine, Keiji Tatsumi,Ryo Kawachi,Tetsuzo Tanino, IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), IEEE, p. 1338-1343, 2010
  • MULTIOBJECTIVE MULTICLASS SUPPORT VECTOR MACHINES MAXIMIZING GEOMETRIC MARGINS, Keiji Tatsumi,Kenji Hayashida,Ryo Kawachi,Tetsuzo Tanino, PACIFIC JOURNAL OF OPTIMIZATION, YOKOHAMA PUBL, Vol. 6, No. 1, p. 115-140, 2010/01
  • Multiobjective Multiclass Support Vector Machine Based on the One-against-all Method, Keiji Tatsumi,Masato Tai,Tetsuzo Tanino, 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, IEEE, p. 2844-2850, 2010
  • Resource Transfer Planning in a Group of RCPSPs Forming a Directed Graph, Shun NISHIZAWA,Yu OHASHI,Keiji TATSUMI,Tetsuzo TANINO, Transactions of the Society of Instrument and Control Engineers, The Society of Instrument and Control Engineers, Vol. 45, No. 11, p. 580-586, 2009/11
  • Chaos generator exploiting a gradient model with sinusoidal perturbations for global optimization, Keiji Tatsumi,Yoshinori Obita,Tetsuzo Tanino, CHAOS SOLITONS & FRACTALS, PERGAMON-ELSEVIER SCIENCE LTD, Vol. 42, No. 3, p. 1705-1723, 2009/11
  • Evolutionary Prisoner's Dilemma Games with Cooling-Off Periods on Networks, Yuto Fukui,Akinori Esaki,Keiji Tatsumi,Tetsuzo Tanino, Proceedings of 2009 International Symposium on Nonlinear Theory and its Applications NOLTA'09, p. 459-462, 2009/10
  • Particle Swarm Optimization Using a Chaotic Restarting Method, Keiji Tatsumi,Tetsuzo Tanino, Proceedings of 2009 International Symposium on Nonlinear Theory and its Applications NOLTA'09, p. 623-626, 2009/10
  • カオス力学系を用いた大域的最適化問題に対するメタヒューリスティック解法, 巽啓司, RAMPシンポジウム論文集, p. 39-53, 2009/10
  • Multiobjective Multiclass Soft-Margin Support Vector Machine and Its Solving Technique Based on Benson's Method, Keiji Tatsumi,Ryo Kawachi,Kenji Hayashida,Tetsuzo Tanino, MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE, PROCEEDINGS, SPRINGER-VERLAG BERLIN, Vol. 5861, p. 360-371, 2009
  • Restarting Multi-type Particle Swarm Optimization Using an Adaptive Selection of Particle Type, Keiji Tatsumi,Takashi Yukami,Tetsuzo Tanino, 2009 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2009), VOLS 1-9, IEEE, p. 923-928, 2009
  • Multiobjective Multiclass Soft-Margin Support Vector Machine Maximizing Pair-Wise Interclass Margins, Keiji Tatsumi,Ryo Kawachi,Kenji Hayashida,Tetsuzo Tanino, ADVANCES IN NEURO-INFORMATION PROCESSING, PT I, SPRINGER-VERLAG BERLIN, Vol. 5506, p. 970-977, 2009
  • A new rank-based ant system using different sensitive ants, Keiji Tatsumi,Tetsuzo Tanino, INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, ICIC INTERNATIONAL, Vol. 4, No. 5, p. 1183-1193, 2008/05
  • Improved projection Hopfield network for the quadratic assignment problem, Keiji Tatsumi,Tetsuzo Tanino, INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, WORLD SCIENTIFIC PUBL CO PTE LTD, Vol. 7, No. 1, p. 53-70, 2008/03
  • A Perturbation Based Chaotic Particle Swarm Optimization Using Multi-type Swarms, Keiji Tatsumi,Hiroyuki Yamamoto,Tetsuzo Tanino, 2008 PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-7, IEEE, p. 1157-1161, 2008
  • COALITION FORMATION IN CONVEX TU-GAMES BASED ON POPULATION MONOTONICITY OF RANDOM ORDER VALUES, Tetsuzo Tanino,Atsushi Moritani,Keiji Tatsumi, JOURNAL OF NONLINEAR AND CONVEX ANALYSIS, YOKOHAMA PUBL, Vol. 9, No. 2, p. 273-281, 2008
  • Multi-objective Multiclass Support Vector Machine Maximizing Exact Margins, TATSUMI K., Proceedings of The 7th International Conference on Optimization, Techniques and Applications, Vol. pp.381-382, p. 381-382, 2007
  • Multi-objective multiclass support vector machine for pattern recognition, K. Tatsumi,K. Hayashida,H. Higashi,T. Tanino, PROCEEDINGS OF SICE ANNUAL CONFERENCE, VOLS 1-8, IEEE, p. 1091-1094, 2007
  • Particle Swarm Optimization with Chaos Dynamics, Shuhei Sasaki,Yoshinori Obita,Keiji Tatsumi,Tetsuzo Tanino, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, The Institute of Systems, Control and Information Engineers, Vol. 6, p. 66-66, 2006
  • Coalition formation games based on preferences by random order values, Atsushi Moritani,Tanpo Masaki,Keiji Tatsumi,Tetsuzo Tanino, Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers, The Institute of Systems, Control and Information Engineers, Vol. 6, p. 132-132, 2006
  • Chaotic particle swarm optimization method exploiting sinusoidal perturbations, Keiji Tatsumi,Syuhei Sasaki,Tetsuzo Tanino, 2006 SICE-ICASE INTERNATIONAL JOINT CONFERENCE, VOLS 1-13, IEEE, p. 3074-+, 2006
  • Cooperative fuzzy games extended from ordinary cooperative games with restrictions on coalitions, Atsushi Moritani,Tetsuzo Tanino,Keiji Tatsumi, KYBERNETIKA, KYBERNETIKA, Vol. 42, No. 4, p. 461-473, 2006
  • A New Chaos Generator Based on the Affine Scaling Method for Global Optimization Problem, Keiji Tatsumi,Yosuke Yamamoto,Tetsuzo Tanino, Pacific Journal of Optimization, Vol. 2, No. 2, p. 261-276, 2006
  • A New Ranking-Based Ant System Maintaining the Diversity of Solution, Keiji Tatsumi,Tetsuzo Tanino, Proceedings of TJS2006 & CJS2006, p. 41-44, 2006
  • Metaheurisitic Method by Using a Chaos Generator with Sinusoidal Perturbations for Global Optimization, Keiji Tatsumi,Yoshinori Obita,Tetsuzo Tanino, Procedings NOLTA2006, p. 883-886, 2006
  • 解の多様性を維持するアントコロニー最適化手法, 巽啓司,谷野哲三, 数理解析研究所講究録1536「モデリングと最適化の理論」, 京都大学, Vol. 1526, p. 241-249, 2006
  • A New Chaos Generator Using Affine Scaling Method for Global Optimization, Kyohei Morita,Yosuke Yamamoto,Keiji Tatsumi,Tetsuzo Tanino, Proceedings of the SICE Annual Conference 2005, p. 1633-1638, 2005/08
  • 提携に制限のあるファジィ協力ゲーム, 森谷篤史,黒木浩二郎,巽啓司,谷野哲三, 京都大学数理解析研究所講究録1409, 京都大学, Vol. 1409, p. 139-153, 2005
  • Cooperative Fuzzy Games Extended from Ordinary Cooperative Games with Restrictions on Coalition, Tetsuzo Tanino,Atsushi Moritani,Akihiro Kosugi,Keiji Tatsumi, Proceedings of 8th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 150-158, 2005
  • Tabu Search for Resource Constrained Project Scheduling Problem, Go Miwa,Yasumasa Nakashima,T. Tanino,Keiji Tatsumi, Proceedings of the International Symposium on Scheduling 2004, Vol. 2004, p. 28-32, 2004
  • An associative memory model based on multiclass classification, Y Yagi,K Tatsumi,T Tanino, SICE 2004 ANNUAL CONFERENCE, VOLS 1-3, SOC INSTRUMENT CONTROL ENGINEERS JAPAN, p. 2532-2537, 2004
  • 提携に制限のある協力ゲームにおける凸性の継承, 森谷篤史,谷野哲三,巽啓司, 数理解析研究所講究録1365 非線形解析学と凸解析学の研究, p. 125-141, 2004
  • Global Convergence of Training Methods for Neural Networks Based on the State-Estimation Filters, Tadashi Tsumura,Keiji. Tatsumi,Tetsuzo Tanino, SICE Annual Conference 2003, p. 2967-2972, 2003/08
  • Global convergence of training methods for neural networks based on the state-estimation, T Tsumura,K Tatsumi,T Tanino, SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, IEEE, p. 1266-1271, 2003
  • Improved projection Hopfield network for the quadratic assignment problem, K Tatsumi,Y Yagi,T Tanino, SICE 2002: PROCEEDINGS OF THE 41ST SICE ANNUAL CONFERENCE, VOLS 1-5, IEEE, p. 2295-2300, 2002
  • Global Convergence Property of Error Back-Propagation Method for Recurrent Neural Networks, Keiji Tatsumi,Tetsuzo Tanino,Masao Fukushima, Operations Research/ Management Science at Work: Applying Theory in the Area Pacific Region: The International Series in Operations Research & Management Science, pp. 225-242, p. 225-242, 2002
  • An improved approximation of the error function of recurrent neural networks for the real-time learning, K Tatsumi,Y Kitano,T Tanino,M Fukushima, KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, I O S PRESS, Vol. 69, p. 152-156, 2001
  • Inner approximation method for a reverse convex programming problem, Syuuji Yamada,Tetsuzo Tanino,Masahiro Inuiguchi,Keiji Tatsumi, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 3, p. 521-526, 1999/12
  • An approximation algorithm for quadratic cost 0-1 mixed integer programming problems, K Mukai,K Tatsumi,M Fukushima, ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, SCRIPTA TECHNICA-JOHN WILEY & SONS, Vol. 82, No. 6, p. 9-17, 1999/06
  • Improvement of Successive Projection Method for Multilayer Neural Networks, Keiji Tatsumi,Masao Fukushima, Transactions of the Institute of Systems, Contorl and Information Engineers, THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), Vol. 11, No. 2, p. 77-85, 1998/11
  • An Approximation Algorithm for Quadratic Cost 0-1 Mixed Integer Programming Problems, MUKAI Kumiko,TATSUMI Keiji,FUKUSHIMA Masao, The Transactions of the Institute of Electronics,Information and Communication Engineers. A, The Institute of Electronics, Information and Communication Engineers, Vol. J81-A, No. 4, p. 649-657, 1998
  • A successive projection method for binary pattern recognition with multilayer feedforward neural networks, Keiji Tatsumi,Masao Fukushima, International Journal of Systems Science, Vol. 27, No. 10, p. 917-923, 1996
  • A Backpropagation Algorithm as a Successive Projection Method, TATSUMI Keiji,FUKUSHIMA Masao, Transactions of the Institute of Systems, Control and Information Engineers, THE INSTITUTE OF SYSTEMS, CONTROL AND INFORMATION ENGINEERS (ISCIE), Vol. 8, No. 5, p. 204-211, 1995/05

Misc.

  • Invited Talk : SAR A/D Converter Using Stochastic Conversion and Machine-Learning Error Correction, Vol. 117, No. 167, p. 95-100, 2017/07/31
  • Invited Talk : SAR A/D Converter Using Stochastic Conversion and Machine-Learning Error Correction, Vol. 41, No. 25, p. 95-100, 2017/07
  • A Regularizer Tuning Sparsity and Its Application to Regression Analysis, Vol. 61, 2017/05/23
  • An approximation method for a multiobjective SVM maximizing geometric margins for multiclass classification problems, Vol. 61, 2017/05/23
  • Particle swarm optimization : A perturbation-based chaotic particle swarm optimization using an intensive search in the direction between best solutions, Vol. 60, 2016/05/25
  • A multi-swarm chaotic particle swarm optimization using a function of which optimal solutions are three kinds of best solutions, Vol. 59, 2015/05/20
  • A soft-margin multiobjective multiclass SVM based on the one-against-all method keeping a balance between geometric margins and slack variables, Vol. 59, 2015/05/20
  • Application of Stochastic A/D Conversion to SAR-ADC, HIRAI Yusaku,ASANO Tomohiro,TANI Sadahiro,KURATA Toshifumi,TATSUMI Keiji,KAMATA Takatsugu,MATSUOKA Toshimasa, Technical report of IEICE. ICD, The Institute of Electronics, Information and Communication Engineers, Vol. 114, No. 345, p. 73-78, 2014/12/01
  • Rejoinder on: Support Vector Machines Maximizing Geometric Margins for Multi-Class Classification, Keiji Tatsumi,Tetsuzo Tanino, TOP, SPRINGER, Vol. 22, No. 3, p. 856-859, 2014/10
  • 一対多手法に基づいた幾何マージン最大化手法のソフトマージンモデルへの拡張と学習時間削減(機械学習とデータマイニング), 巽 啓司,志賀 裕輝,谷野 哲三, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2014, p. 196-197, 2014/03/06
  • 一対一手法に基づく多クラス多目的サポートベクトルマシンに対する参照点を利用した学習法(最適化(1)), 巽 啓司,石田 翔己,谷野 哲三, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2013, p. 258-259, 2013/09/11
  • A learning technique based on one-against-one method for multiobjective multiclass support vector machine, Vol. 57, 2013/05/15
  • 幾何的侵入量を考慮した多目的マルチクラスSVM(連続最適化), 赤尾 雅嗣,巽 啓司,谷野 哲三, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2011, p. 364-365, 2011/09/13
  • Multiobjective Multiclass Support Vector Machines Using Kernel Functions (Nonlinear Analysis and Convex Analysis), Kawachi Ryo,Tatsumi Keiji,Tanino Tetsuzo, RIMS Kokyuroku, Kyoto University, Vol. 1685, p. 210-220, 2010/04
  • 1-G-3 幾何的マージン最大化を考慮した多クラスサポートベクトルマシン(MIS・DSS), 巽 啓司,河内 諒,林田 賢二,谷野 哲三, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2009, p. 118-119, 2009/03/17
  • Multiobjective Optimization Models for Multiclass Support Vector Machines, TANINO Tetsuzo,TATSUMI Keiji,HAYASHIDA Kenji,KAWACHI Ryo, IEICE technical report, The Institute of Electronics, Information and Communication Engineers, Vol. 108, No. 277, p. 37-39, 2008/10/30
  • 2-A-5 摂動項をもつ勾配型カオスダイナミクスによる大域的最適化問題の近似解法(非線形最適化(1)), 帯田 敬悟,巽 啓司,谷野 哲三, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2006, p. 84-85, 2006/03/14
  • 繰り返し囚人のジレンマゲームにおけるプレイヤーの信頼度を用いた行動決定のシミュレーション (不確実性と意思決定数理の諸問題), 森下 紗枝,巽 啓司,谷野 哲三, 数理解析研究所講究録, 京都大学, Vol. 1373, p. 50-58, 2004/05
  • 提携に制限のある協力ゲームにおける凸性の継承 (非線形解析学と凸解析学の研究), 松井 知章,黒木 浩二郎,森谷 篤史,巽 啓司,谷野 哲三, 数理解析研究所講究録, 京都大学, Vol. 1365, p. 14-24, 2004/04
  • ファジィ協力ゲームにおける誘導Shapley値(ゲーム理論), 森谷 篤史,谷野 哲三,黒木 浩二郎,巽 啓司, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2004, p. 302-303, 2004/03/17
  • 局所探索プロセスを有するカオスダイナミクスを用いた多峰性関数の最適化(組合せ最適化ほか), 帯田 敬悟,山本 洋介,巽 啓司,谷野 哲三, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2004, p. 228-229, 2004/03/17
  • 提携に制限のある協力ゲームの解に関する考察 (数理最適化から見た「凸性の深み,非凸性の魅惑」), 森谷 篤史,谷野 哲三,巽 啓司, 数理解析研究所講究録, 京都大学, Vol. 1349, p. 46-62, 2004/01
  • アフィン変換法を用いたダイナミクスにおけるカオス性(非線形計画(1)), 山本 洋介,巽 啓司,谷野 哲三, 日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 2003, p. 142-143, 2003/09/10
  • The Second Japanese-Sino Optimization Meeting (JSOM 2002), TATSUMI Keiji, Systems, control and information, Institute of Systems, Control and Information Engineers, Vol. 47, No. 2, p. 102-102, 2003/02/15
  • An Approximation Algorithm for Quadratic Cost 0-1 Mixed Integer Programming Problems, MUKAI Kumiko,TATSUMI Keiji,FUKUSHIMA Masao, The Transactions of the Institute of Electronics,Information and Communication Engineers. A, The Institute of Electronics, Information and Communication Engineers, Vol. Vol. J81-A, No.4, pp.649-657, No. 4, p. 649-657, 1998
  • An Approximation Algorithm for Quadratic Cost 0-1 Mixed Integer Programming Problems, MUKAI Kumiko,TATSUMI Keiji,FUKUSHIMA Masao, Transactions of the Institute of Electronics, Information and Communication Engineers, The Institute of Electronics, Information and Communication Engineers, Vol. J81-A, No. 4, p. 649-657, 1998
  • 0-1型混合整数計画問題に対する近似解法(ニューラル・ネットワーク), 向井 くみこ,巽 啓司,福島 雅夫, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 1997, p. 232-233, 1997/04/02
  • 階層型ニューラルネットワークに対する逐次射影法の改良(その2)(ニューラル・ネットワーク), 巽 啓司,福島 雅夫, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 1997, p. 236-237, 1997/04/02
  • 階層型ニューラルネットワークに対する逐次射影法の改良(メタ戦略(3)), 巽 啓司,福島 雅夫, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 1996, p. 234-235, 1996/05/15
  • 逐次射影法としての誤差逆伝搬法(非線形計画(1)), 巽 啓司,福島 雅夫, 日本オペレーションズ・リサーチ学会春季研究発表会アブストラクト集, 公益社団法人日本オペレーションズ・リサーチ学会, Vol. 1994, p. 71-72, 1994/05/25

Publications

  • 数理工学事典, 茨木俊秀, 片山徹, 藤重悟監, 巽 啓司, 朝倉出版, 2011

Industrial Property Rights

  • Ａ／Ｄ変換装置, 松岡,平井,谷,朝野,巽,倉田,鎌田, 特許6489605, 特願2014-226356, 出願日:2014/11/06

Works

  • パススケジュール数理最適化の研究, 2008 - 2009
  • 圧延・精整最適スケジューリング, 2005 - 2006

Awards

  • システム制御情報学会賞奨励賞, 1996

Presentations

  • 大規模構造物建設時の補強度合判別問題への機械学習の適用, 巽啓司, システム制御情報学会研究発表 講演会(SCI’21), 2021/05
  • Multiclass Support Vector Machine Classifying the Degree of Reinforcement in Construction of a Large-scale Structure, Keiji Tatsumi, The International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (IUKM) 2020, 2020/11/11
  • A Complexity Reduction Method for the Multiobjective Multiclass Support Vector Machine, Keiji Tatsumi,Tetsuzo Tanino, IFORS 2014, 2014/07
  • Multiclass Support Vector Machines Based on Multiobjective Optimization, Keiji Tatsumi, 2012
  • A Perturbation Based Chaotic Particle Swarm Optimization Using Differential Information and Multi-type Swarms, Proceedings of SJOM2008, 2008
  • Chaotic multi-start method using the affine scaling method for the quadratic assignment problem, The Fourth International Conference on Nonlinear Analysis and Convex Analysis (NACA2005), 2005
  • A comparison of methods for generating a chaotic orbit in global optimization, The 3rd Sino-Japanese Optimization Meeting (SJOM), 2005
  • A Global Optimization Method Using Chaotic Dynamics with Local Search Processes, Third International Conference on Optimization and Control with Applications} (OCA2004), 2004
  • A New Chaotic Meta-heuristic Method with Local Search Processes for the Quadratic Assignment Problem, The 6th International Conference on Optimization: Techniques and Applications, 2004
  • Improved Projection Hopfield Network for the Quadratic Assignment Problem, Proceedings of The Second Japanese-Sino Optimization Meeting (JSOM 2002), 2002

Academic Activities

  • 計測自動制御学会 システム・情報部門 知能工学部会（幹事）, 2017/11 - Present
  • システム制御情報学会（編集委員）, 2017/06 - Present
  • 計測自動制御学会 システム・情報部門 知能工学部会（運営委員）, 2016/10 - Present
  • 日本オペレーションズ・リサーチ学会関西支部（運営委員）, 2011/03 - Present
  • 計測自動制御学会（論文誌 Technical Programming Committee 委員）, 2019/04 - 2020/04
  • 計測自動制御学会（創発システムシンポジウム 幹事）, 2019/04 - 2019/09
  • システム制御情報学会（編集委員）, 2014/05 - 2016/05
  • 計測自動制御学会関西支部（運営委員）, 2014/01 - 2016/01
  • システム制御情報学会（編集委員）, 2009/06 - 2011/05
  • 日本オペレーションズ・リサーチ学会関西支部（編集委員）, 2010/03 - 2011/02
  • システム制御情報学会（事業委員）, 2005/06 - 2007/05
  • 第61回システム制御情報学会研究発表講演会, システム制御情報学会, 2017/05 -
  • 第57回システム制御情報学会研究発表講演会, システム制御情報学会, 2013/05 -
  • 15th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, Czech-Japan Seminar Committee, 2012/09 -
  • 第56回システム制御情報学会研究発表講演会, システム制御情報学会, 2012/05 -
  • 第55回システム制御情報学会研究発表講演会, システム制御情報学会, 2011/05 -
  • 平成21年電気関係学会関西支部連合大会, 電気関連6学会関西支部, 2009/11 -
  • 第52回自動制御連合講演会, システム制御情報学会(幹事学会)他5学会, 2009/11 -
  • The 7th International Conference on Optimization:, ICOTA7 Organizing Committee, 2007/12 -
  • 第56回システム制御情報学会講習会, システム制御情報学会, 2006/11 -
  • 第55回システム制御情報学会講習会, システム制御情報学会, 2005/11 -
  • 第49回システム制御情報学会研究発表講演会, システム制御情報学会, 2005/06 -
  • The Second Japanese-Sino Optimization Meeting (JSOM 2002), Steering comittee of JSOM, 2002/09 -
  • The Fifth International Conference on Multi-Objective Programming and Goal Programming (MOPGP'02), Organizing Comitee of MOPGP'02, 2002/06 -
  • 第45回システム制御情報学会研究発表講演会, システム制御情報学会, 2001/05 -
  • 第44回システム制御情報学会研究発表講演会, システム制御情報学会, 2000/05 -

Committee Memberships

  • システム制御情報学会, 事業委員, 2005 -