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Abstract: Artificial neural networks have been applied to a variety of classification and learning tasks. The success of error correction training algorithms such as backpropagation has meant that supervised learning, where the correct outcome is known, has been the most used. In addition, although the structure of an artificial neural network is a significant contributing factor to its performance, the structure is generally heuristically chosen. The use of evolutionary algorithms as search techniques... (Update)
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BibTeX entry: (Update)
@misc{ evolutionary-evolving,
author = "Using An Evolutionary",
title = "Evolving Neural Network Architecture and Weights",
url = "citeseer.ist.psu.edu/626043.html" }
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