Comparison of PSO and DE for Training Neural Networks
MICAI '11 Proceedings of the 2011 10th Mexican International Conference on Artificial Intelligence, pp. 83-87, 2011.
particle swarm optimizationdifferential evolutioncomputational resourcetraining neural networksfeed-forward artificial neural networkMore(17+)
The use of computational resources required for Feed-Forward Artificial Neural Network (FFANN) training phase by means of classical techniques such as the back propagation learning rule can be prohibitive in some applications. A good training phase is needed for a high performance of a neural network. In searching for alternative methods ...More
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