Yasuhiko Dote

Ajith Abraham, Yukio Ohsawa, Yasuhiko Dote: Web Intelligence and Chance Discovery. Soft Comput. 11(8): 695-696 (2007)

Ajith Abraham, Yasuhiko Dote, Takeshi Furuhashi, Mario Köppen, Azuma Ohuchi, Yukio Ohsawa (Eds.): Soft Computing as Transdisciplinary Science and Technology, Proceedings of the fourth IEEE International Workshop, WSTST'05, Muroran, Japan. Advances in Soft Computing 29, Springer 2005, isbn 978-3-540-25055-5

Fuminori Yakuwa, Mika Yoneyama, Yasuhiko Dote: Novel Time Series Analysis and Prediction of Stock Trading Using Fractal Theory and Time-Delayed Neural Networks. Int. J. Hybrid Intell. Syst. 1(2): 72-79 (2004)

Tomohiro Ikai, Mika Yoneyama, Yasuhiko Dote: Novel Intelligent Agent-Based System for Study of Trade. KES 2004: 113-123

Fuminori Yakuwa, Mika Yoneyama, Yasuhiko Dote: Novel Time Series Analysis and Prediction of Stock Trading Using Fractal Theory and Time Delayed Neural Network. HIS 2003: 97-106

Fuminori Yakuwa, Yasuhiko Dote, Mika Yoneyama, Shinji Uzurabashi: Novel time series analysis and prediction of stock trading using fractal theory and time delayed neural network. SMC 2003: 134-141

Shingo Satoh, Fuminori Yakuwa, Yasuhiko Dote: Combination of radial basis function (RBF) and time delayed neural networks (TDNN) for fault diagnosis of automobile transmission gears using general parameter learning and adaptation. SMC 2003: 1457-1462

Yasuhiko Dote: Neuro-Fuzzy Control. HIS 2002: 9-10

Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska: Fuzzy neural network with general parameter adaptation for modeling of nonlinear time-series. IEEE Transactions on Neural Networks 12(1): 148-152 (2001)

Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska: Errata to "fuzzy-neural network with general parameter adaptation for modeling of nonlinear time-series". IEEE Transactions on Neural Networks 12(2): 443 (2001)

Shigeharu Taniguchi, Daouren Akhmetov, Yasuhiko Dote, Seppo J. Ovaska: Nonlinear Modeling and Fault Detection Using Fuzzy-Neural Network. ISCA Conference on Intelligent Systems 2000: 96-100