Research field (2)：
Mathematical informatics
, Soft computing
Research keywords (13)：
Control
, Optimization
, Mathematical modeling of diseases
, Nonlinear system
, Neural networks
, Mathematical biology
, Complex systems
, Reservoir computing
, Neurocomputing hardware
, Artificial intelligence
, Complex networks
, Bifurcation theory
, Dynamical systems
Research theme for competitive and other funds (5)：
2020 - 2023 Development of fast machine learning methods based on combinations of different computational models
2017 - 2019 Bifurcation analysis of cellular systems dynamics and its application to disease control
2016 - 2019 Mathematical analysis and optimal design of reservoir computing systems
2012 - 2014 Mathematical Research on Dynamical Robustness of Complex Networks
2007 - 2009 Nonlinear Dynamics Analysis of Complex-Valued Neural Networks and its Engineering Applications
Papers (95)：
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Dynamical Graph Echo State Networks with Snapshot Merging for Dissemination Process Classification. Lecture Notes in Computer Science (LNCS). 2023
Ryosho Nakane, Akira Hirose, Gouhei Tanaka. Performance Enhancement of a Spin-Wave-Based Reservoir Computing System Utilizing Different Physical Conditions. Physical Review Applied. 2023. 19. 3
Ziqiang Li, Yun Liu, Gouhei Tanaka. Multi-Reservoir Echo State Networks with Hodrick-Prescott Filter for nonlinear time-series prediction. Applied Soft Computing. 2023. 135. 110021-110021
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. Dynamical Graph Echo State Networks with Snapshot Merging for Spreading Process Classification. ICONIP (10). 2023. 523-534
Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. An Echo State Network-Based Method for Identity Recognition with Continuous Blood Pressure Data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2023. 14257 LNCS. 13-25
Reservoir computing utilizing spin waves: enhancement of computational performance through a practical approach for on-chip devices. 応用物理学会春季学術講演会講演予稿集(CD-ROM). 2023. 70th
Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan Pablo Ortega, Akira Hirose. Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. IEEE Transactions on Neural Networks and Learning Systems. 2022. 33. 6. 2571-2574
加藤准也, 田中剛平, 田中剛平, 中根了昌, 廣瀬明. Experiments of Reconstructive Reservoir Computing to Detect Anomaly in Time-series Signals. 電子情報通信学会技術研究報告(Web). 2022. 121. 390(NC2021 46-78)
渡邊隆二, 田中剛平. Relationship between Computational Performance and Task Difficulty of Reinforcement Learning Methods Using Reward Machines. 電子情報通信学会技術研究報告(Web). 2022. 121. 444(NLP2021 126-152)
Mahalanobis Distance of Reservoir States for Highly-Efficient Time-Series Classification
(The 33rd Annual Meeting of the Japanese Neural Network Society 2023)
Identity Recognition with Bidirectional Echo State Networks from Continuous Blood Pressure Data
(The 33rd Annual Meeting of the Japanese Neural Network Society 2023)
2020/11 - European Neural Network Society Best Paper Award 3rd Prize, 29th International Conference on Artificial Neural Networks (ICANN) Two-Step FORCE Learning Algorithm for Fast Convergence in Reservoir Computing
2017 - 日本応用数理学会 業績賞 「前立腺癌の間欠的内分泌療法に関する数理的アプローチ」
2017 - IEEE Transcations on Nanotechnology 2016 Best Paper Award
2011 - First International Symposium on Innovative Mathematical Modelling Best Poster Award (Silver Prize) Robustness of Scale-free Networks of Oscillators against Partial Inactivation
2005 - Society for Industrial and Applied Mathematics Honorable Mention Award, DSWeb Tutorials Contest Crisis-induced Intermittency in Coupled Chaotic Maps
