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The features of a short-term prediction of a stock price using a multi-layer perceptron in a moving simulation application mode are considered in this paper. The input data for the short-term prediction mode are analyzed. The architecture of the predicting model is developed. The simulation modeling results show a high accuracy of the prediction on the historical stock prices of Fiat company.
This paper represents the artificial neural network's method of design results evaluation and software quality characteristics prediction (NMEP) and the analysis of results of realized artificial neural network (ANN) training and functioning.
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