Reinforcement-Based Fuzzy Neural Network ontrol with Automatic Rule Generation |
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| Authors: | WU Geng-feng DONG Jian-quan CHEN Yi-min CAO Min FU Zhong-qian |
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| Abstract: | A reinforcemen-based fuzzy neural network control with automatic rule generation RBFNNC) is pro-posed. A set of optimized fuzzy control rules can be automatically generated through reinforcement learning based onthe state variables of object system. RBFNNC was applied to a cart-pole balancing system and simulation resultshows significant improvements on the rule generation. |
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| Keywords: | reinforcement learning fuzzy neural network rule generation |
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