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An approach to restoration and recovery problems using parallel hierarchical neural networks

✍ Scribed by I. Kadar; S. Waner; Y. Wu; H.M. Hastings

Book ID: 108019858
Publisher: Elsevier Science
Year: 1988
Tongue: English
Weight: 69 KB
Volume: 1
Category: Article
ISSN: 0893-6080
DOI: 10.1016/0893-6080(88)90473-x

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## Abstract Both genetic algorithms (GAs) and artificial neural networks (ANNs) have been used in the field of computational electromagnetics as the most powerful optimizing tools. In this paper, a simple and efficient method is presented to handle the problem of competing convention while training