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.
|主出版物標題||Recent Advances in Computers, Computing and Communications|
|發行者||World Scientific and Engineering Academy and Society|
|出版狀態||已出版 - 2002|