Convergence suppression and divergence facilitation: new approach to prune hidden layer and weights of feedforward neural networks

Proceedings - IEEE International Symposium on Circuits and Systems

Volumn 1, Issue , 1995, Pages 121-124

  Yasui, Syozo ^a   Malinowski, Aleksander ^a   Zurada, Jacek M ^a  

^a KYUSHU INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; ERRORS; ITERATIVE METHODS; STATISTICAL METHODS; VECTORS;

CONVERGENCE SUPPRESSION; DIVERGENCE FACILITATION; ERROR BACKPROPAGATION; MUTUAL FACILITATION FIELDS; MUTUAL SUPPRESSION FIELDS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0029180618     PISSN: 02714310     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)