Inproceedings,
Self-Organizing Neurocontrol
Proc. of IEEE WCCI ICNN'94, 5, page 2777--2780. Orlando, Florida, IEEE Inc., (1994)
Abstract
Self-organizing neural network solutions to control problems are described. Competitive networks create spatial filters and geometry connections in a self-organizing fashion. The goal position, the obstacle and the object under control all create neural activities through the filters. Spreading activation that discriminates between the controlled object, the goal position and the obstacles is utilized on the internal representation. Local self-training method and Hebbian learning develops the self-organizing control connections. The algorithm provides maneouvering capability in unseen scenes.
