Statistical Evaluation of the Performance of the Neural Network

In this paper the problem of evaluating the performance of the neural network, based on a study of the probabilistic behavior of the network is considered. Direct propagation network consisted of layer of input nodes, hidden layer and output layer is examined. To evaluate the network performance the mathematical expectation and dispersion of weight at the input of the output layer are considered. For such networks the estimates for some of the statistical characteristics of the neural network in the case of two recognized classes were obtained.

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The authors declare no conflict of interest.

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The datasets used in this study are openly available at [repository link] and the source code is available on GitHub at [GitHub link].

This work did not receive any external funding.