After some efficient demonstrations of multi-layer perceptron have been shown in the late 1980's, it is an important tool in various applications, including image processing, speech recognition, time series prediction, control and data analysis. In this article, we try to give some reviews of the research related to function approximation, learning method and especially generalization in multi-layer perceptron.
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