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Published in:
1993 | OriginalPaper | Chapter
Representation and Evolution of Neural Networks
Author : Martin Mandischer
Published in: Artificial Neural Nets and Genetic Algorithms
Publisher: Springer Vienna
Included in: Professional Book Archive
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An evolutionary approach for developing improved neural network architectures is presented. It is shown that it is possible to use genetic algorithms for the construction of backpropagation networks for real world tasks. Therefore a network representation is developed with certain properties. Results with various application are presented.