Hu Jinglu | Grad.school Of Information Sci.and Electrical Eng. Kyushu Univ.
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概要
- HU Jinglu[et al.]の詳細を見る
- 同名の論文著者
- Grad.school Of Information Sci.and Electrical Eng. Kyushu Univ.の論文著者
関連著者
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Hu Jinglu
Grad.school Of Information Sci.and Electrical Eng. Kyushu Univ.
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HIRASAWA Kotaro
Dept. of Elect. and Electron. Syst. E. Graduate School of Inform. Sci. and Elect. E.
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村田 純一
九州大学大学院 システム情報科学府
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Murata Junichi
Department Of Electrical Engineering Faculty Of Engineering Kyushu University
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HU Jinglu
Grad.School of Information Sci.and Electrical Eng.,Kyushu Univ.
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Murata Junichi
Grad.school Of Information Sci.and Electrical Eng. Kyushu Univ.
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MURATA Junichi[et
Grad.School of Information Sci.and Electrical Eng.,Kyushu Univ.
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HIRASAWA Kotaro
Grad.School of Information Sci.and Electrical Eng.,Kyushu Univ.
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Hirasawa Kotaro
Grad.school Of Information Sci.and Electrical Eng. Kyushu Univ.
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KUSUMI Naohiro
Dept.of Electrical and Electronic Systems Eng.,Grad.School of Information Sci.and Electrical Eng.,Ky
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Kusumi Naohiro
Dept.of Electrical And Electronic Systems Eng. Grad.school Of Information Sci.and Electrical Eng. Ky
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Chen H
Zhejiang Univ. Hangzhou Chn
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Wan Weishui
Kyushu University
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WAN Weishui
Dept.of Electrical and Electronic Systems Eng.,Grad.School of Information Science and Electrical Eng
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Wang Xiaofeng
Department Of Electrical And Electronic Systems Engineering Graduate School Of Information Science A
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WANG Xiaofeng
Dept.of Electrical and Electronic Systems Eng.,Grad.School of Information Science and Electrical Eng
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CHEN Hongping
Dept.of Electrical and Electronic Systems Eng.,Grad.School of Information Science and Electrical Eng
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HU Jinglu[et
Grad.School of Information Sci.and Electrical Eng.,Kyushu Univ.
著作論文
- A New Approach to Lotka-Volterra Model using Fuzzy Inference for Symbiosis Phenomena
- Minimax Control of Nonlinear Systems Using Universal Learning Networks
- A New Method to Prune the Neural Network
- Chaos Control using Universal Learning Network
- A New Control Method of Nonlinear Systems Based on Impulse Responses of Universal Learning Networks
- Probabilistic Universal Learning Networks and their Applications to Nonlinear Control Systems