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Mapping properties of multi-layer, feedforward artificial neural networks are analyzed using modified backpropagation training with forgetting (decay) of the connection weights. Neural nets trained by forgetting algorithm are not sensitive to the initial choice of the network, and the trained network structure can be used for knowledge acquisition regarding the feature classes. The accuracy of the...
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