论文信息 - Comparison of learning algorithms

Comparison of learning algorithms

There are several learning methods which are suitable for neural networks. In this paper two of them are described - Back-propagation (BP) and Genetic (GA) algorithms. These learning methods are compared here and they are used for the control of modern telecommunication network nodes.

V. Skorpil | J. Stastny | J. Stastný | V. Skorpil

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