A self-generating neuro-fuzzy system through reinforcements

Mu Chun Su, Chien Hsing Chou, Eugene Lai

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations


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.

Original languageEnglish
Title of host publicationRecent Advances in Computers, Computing and Communications
PublisherWorld Scientific and Engineering Academy and Society
Number of pages6
ISBN (Print)9608052629
StatePublished - 2002


  • Neural network
  • Neuro-fuzzy system
  • Reinforcement learning


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