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Journal Neurocomputers №5 for 2013 г.
Article in number:
Functional pre-treatment of input signals in a neural network
Authors:
A.L. Gusev, F.M. Cherepanov, L.N. Yasnitsky
Abstract:
In this paper, the authors propose a technique to intensify the correlations between input and output signals within a neural network by means of the adjustment of input signals. This adjustment is performed using specially selected elementary functions for each input of a neural network. The presented technique improves the accuracy of neural network models in modelling complicated processes. The authors suggest embedding the proposed algorithm into neural network packages to improve the quality of neural network modelling.
Pages: 19-21
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