Faculty Information - Kamio Takeshi |

（Last updated : 2025-05-20 15:57:27）

Kamio Takeshi

Department / Course

Hiroshima City University Graduate School Graduate School of Information Sciences Major in Systems Engineering

Hiroshima City University Faculty of Information Sciences Department of Systems Engineering

Job Associate Professor

E-Mail Address

Business career
2023/04/01 ～	Associate Professor Hiroshima City University Graduate School Graduate School of Information Sciences Major in Systems Engineering
2023/04/01 ～	Associate Professor Hiroshima City University Faculty of Information Sciences Department of Systems Engineering

Academic background
～1999	Applied Electronic Technology Graduate School, Division of Electronic Science and Technology Shizuoka University

Image

Present specialized field
Intelligent Informatics, Sensitivity Informatics/Soft Computing, Communication/Network Engineering keyword(Neural Networks, Machine Learning, Communication and Signal Processing)


2016	Parameter Optimization for Power Line Communications
2014	Theoretical Estimation of Digital Terrestrial TV Broadcasting Wave
2012	Optimization based on swarm intelligence
2008	multi-agent system and its applications
1994	Study on Nonlihear Neuro Dynamics and Communication/Signal Processing


Development of Intelligent Applications

Book and thesis
Papers	Dual-time-sharing high-order QAM symbol error correction network of mix-select cells connected with bit-transfer lines -- Some numerical experiments Nonlinear Theory and Its Applications, IEICE 15 (1),pp.87-106 (Co-authored) 2024/01/01
Papers	Wave propagation on networks of probabilistic inverter cells Nonlinear Theory and Its Applications, IEICE 15 (1),pp.72-86 (Co-authored) 2024/01/01
Papers	addHessian: Combining quasi-Newton method with first-order method for neural network training Nonlinear Theory and Its Applications, IEICE 13 (2),pp.361-366 (Co-authored) 2022/04/01
Papers	Accelerating Symmetric Rank-1 Quasi-Newton Method with Nesterov’s Gradient for Training Neural Networks Algorithms 15 (1) (Co-authored) 2021/12
Papers	A Nesterov’s Accelerated quasi-Newton method for Global Routing using Deep Reinforcement Learning Nonlinear Theory and Its Applications, IEICE 12 (3),pp.323-335 (Co-authored) 2021/07
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Academic conference presentation
2004/10/07	船舶航路決定のための強化学習アルゴリズムについて (jointly worked)
2004/03/19	ファジィARTニューラルネットワークによる強化学習のための状態空間の構成法 (jointly worked)