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Comparative performance of backpropagation networks designed by genetic algorithms and heuristics

โœ Scribed by James V. Hansen

Book ID
111659413
Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
70 KB
Volume
7
Category
Article
ISSN
1055-615X

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โœ Stefan Bornholdt; Dirk Graudenz ๐Ÿ“‚ Article ๐Ÿ“… 1992 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 666 KB

Abstraet--A learning algorithm for neural networks based on genetic algorithms is proposed. The concept leads in a natural way to a model for the explanation of inherited behavior. Explicitly we study a simplified model for a brain with sensory and motor neurons. We use a general asymmetric network