论文信息 - Representation and Evolution of Neural Networks

Representation and Evolution of Neural Networks

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.

Martin Mandischer | M. Mandischer

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