摘要
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.
| 原文 | ???core.languages.en_GB??? |
|---|---|
| 主出版物標題 | Recent Advances in Computers, Computing and Communications |
| 發行者 | World Scientific and Engineering Academy and Society |
| 頁面 | 332-337 |
| 頁數 | 6 |
| ISBN（列印） | 9608052629 |
| 出版狀態 | 已出版 - 2002 |