Comparing performances of backpropagation and genetic algorithms in the data classification

Volume: 38, Issue: 4, Pages: 3703 - 3709
Published: Apr 1, 2011
Abstract
Artificial neural networks (ANN) have a wide ranging usage area in the data classification problems. Backpropagation algorithm is classical technique used in the training of the artificial neural networks. Since this algorithm has many disadvantages, the training of the neural networks has been implemented with the binary and real-coded genetic algorithms. These algorithms can be used for the solutions of the classification problems. The...
Paper Details
Title
Comparing performances of backpropagation and genetic algorithms in the data classification
Published Date
Apr 1, 2011
Volume
38
Issue
4
Pages
3703 - 3709
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