Universal Learning Networks with Branch Control
スポンサーリンク
概要
著者
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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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HU Jinglu
Dept.of Electrical and Electronic Systems Eng.,Faculty of Information Science and Electrical Eng.,Ky
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Hu Jinglu
Dept.of Electrical And Electronic Systems Eng. Faculty Of Information Science And Electrical Eng. Ky
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Xiong Qingyu
Automation College Chongqing University
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XIONG Qingyu
Grad.School of Information Science and Electrical Eng.,Kyushu Univ.
関連論文
- Application of Likelihood Search Method to Neural Networks Learning
- Universal Learning Network-based Fuzzy System and its Application to Non-linear Control System
- Random Search Method with Intensification and Diversification -Discrete Version-
- Comparison between Genetic network Programming and Genetic Programming Using Evolution of Ant's Behaviors
- A Target Tracking Algorithm with Derivation Measurement
- Learning of Symbiotic Relations among Agents by Using Neural Networks
- Stability Analysis using Higher Order Derivatives of Universal Learning Networks
- Nonlinear Model Predictive Control Utilizing a Neuro-Fuzzy Predictor
- Minimax Control of Nonlinear Systems Using Universal Learning Networks
- A functions localized neural network with branch gates
- A Global Optimal Control of Nonlinear Systems by Orbital Correction Method
- Universal Learning Networks with Branch Control
- Overlapped Multi-Neural-Network and Its Training Algorithm
- Universal Learning Networks with Branch Control
- A New Method to Prune the Neural Network
- Chaos Control using Universal Learning Network
- Universal Learning Network and its Application Systems
- A New Learning Method Using Prior Information of Neural Networks
- Quasi-Linear Adaptive Control of Theory for Nonlinear Systems
- A Hybrid Quasi-ARMAX Modeling and Identification Scheme for Nonlinear Systems
- 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