A consideration on the learning algorithm of neural network-utilization of the hierarchical structure stochastic automata for the backpropagation method with momentum. - Norio Baba; Ken Sato (KES (3), 1998)

A research concerning a concept generation and an action of an agent. - Ken Sato; Norio Baba (KES (3), 1998)

Application of techniques of computational intelligence for constructing reliable decision support systems. - Norio Baba; Hiroyuki Asakawa; Ken Sato (IJCNN, 1999)

Fuzzy Logic as Interfacing Media for Contraint Propagation Based on Theories of Chu Space and Information Flow. - Ken Sato; Tadashi Horiuchi; Toshihiro Hiraoka; Hiroshi Kawakami; Osamu Katai (RSFDGrC, 1999)

Decision making process via constraint-oriented fuzzy logic based on Chu space theory. - Ken Sato; Tadashi Horiuchi; Toshihiro Hiraoka; Hiroshi Kawakami; Osamu Katai (FUZZ-IEEE, 2000)

A Freehand Scanning Method for Measuring EMF Distributions Using Magnetic Tracker. - Ken Sato; Naoki Miyata; Yoshitsugu Kamimura; Yoshifumi Yamada (IEICE Trans. Commun., 2010)

Simple Portfolio Strategies Utilizing Inflation Factor in Japanese Equity Market. - Ken Sato; Koichi Miyazaki; Junji Mawaribuchi (ICCS, 2011)

Highlighted Map for Mobile Robot Localization and Its Generation Based on Reinforcement Learning. - Ryota Yoshimura; Ichiro Maruta; Kenji Fujimoto; Ken Sato; Yusuke Kobayashi (IEEE Access, 2020)

Adversarial Reinforcement Learning Based Robustification of Highlighted Map for Mobile Robot Localization. - Ryota Yoshimura; Ichiro Maruta; Kenji Fujimoto; Ken Sato; Yusuke Kobayashi (SICE, 2021)

Particle Filter Design Based on Reinforcement Learning and Its Application to Mobile Robot Localization. - Ryota Yoshimura; Ichiro Maruta; Kenji Fujimoto; Ken Sato; Yusuke Kobayashi (IEICE Trans. Inf. Syst., 2022)

Probabilistic generative modeling and reinforcement learning extract the intrinsic features of animal behavior. - Keita Mori; Naohiro Yamauchi; Haoyu Wang; Ken Sato; Yu Toyoshima; Yuichi Iino (Neural Networks, 2022)

Design of a Nonvolatile-Neural-Network-Accelerator-Embedded Edge-IoT Device and Its Hardware Emulation. - Ken Sato; Daisuke Suzuki (MCSoC, 2023)