Proceedings. SCCC'99 XIX International Conference of the Chilean Computer Science Society
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Abstract

A feed-forward neural network with one hidden layer and full connection is analyzed from several points of view and trained with different algorithms. A comparative performance analysis shows marginal differences supporting the conclusion that the network architecture has a stronger influence upon the performance than the training algorithm.
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