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.
|Title of host publication||Recent Advances in Computers, Computing and Communications|
|Publisher||World Scientific and Engineering Academy and Society|
|Number of pages||6|
|State||Published - 2002|
- Neural network
- Neuro-fuzzy system
- Reinforcement learning