A self-generating neuro-fuzzy system through reinforcements
Mu Su, Chien Hsing Chou, Eugene Lai · 2002
Abstract: In this paper, a novel self-generating neuro-fuzzy system through reinforcements is proposed. Not only the weights of the network but also the architecture of the whole network are all learned through reinforcement learning. The proposed neuro-fuzzy system is applied to the inverted pendulum system to demonstrate its performance. Key-words: reinforcement learning, neural network, neuro-fuzzy system 1.