Proceedings Paper
Determination of the topology and weights of the feedforward ANN by genetic evolution| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper proposes an evolutionary based method to design the feedforward Artificial Neural Networks (ANN). The Evolutionary Programming method evolves concurrently the topology and weight distribution of ANN, accelerates the rate of convergence of the solution obtained, and approaches the global optimal solution, then BP is used to train the exact weight values. The experiments demonstrate the method is promising.
Paper Details
Date Published: 4 April 1997
PDF: 5 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271499
Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)
PDF: 5 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271499
Show Author Affiliations
Xiaodong Tang, Shanghai Jiao Tong Univ. (China)
Jie-Gu Li, Shanghai Jiao Tong Univ. (China)
Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)
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