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Code generation by a generalized neural network: General principles and elementary examples

✍ Scribed by G.C. Fox; J.G. Koller

Publisher
Elsevier Science
Year
1989
Tongue
English
Weight
309 KB
Volume
6
Category
Article
ISSN
0743-7315

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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