Self-organization Dynamics in Chaotic Neural Networks
Masataka Watanabe, Kazuyuki Aihara, Shunsuke Kondo · Birkhäuser Boston eBooks · 1997
We examine roles of deterministic chaos in artificial neural networks with self-organization dynamics which has the ability to switch automatically between learning and retrieving modes in accordance with the given input pattern. We demonstrate that the chaotic dynamics works as means to learn new patterns and increases the memory capacity of the neural network.