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The Function Representation of Artificial Neural Network (1908.10493v2)
Published 27 Aug 2019 in cs.LG, math.FA, and stat.ML
Abstract: This paper expresses the structure of artificial neural network (ANN) as a functional form, using the activation integral concept derived from the activation function. In this way, the structure of ANN can be represented by a simple function, and it is possible to find the mathematical solutions of ANN. Thus, it can be recognized that the current ANN can be placed in a more reasonable framework. Perhaps all questions about ANN will be eliminated.