Algorithm of the multilayer artificial feed-forward neural network learning
https://doi.org/10.29235/1561-2430-2026-62-2-149-163
Abstract
The algorithm of the multilayer feed-forward neural network learning is developed. The algorithm realizes an error back-propagation idea. The particularity of the algorithm is its multidimensional-matrix form, which provides its theoretical and algorithmic generality. The program realization of the algorithm is performed as the function of Matlab programming language. In spite of the multidimensional-matrix form of the algorithm, this function is defined fully by the usual matrices. The validity of the algorithm is confirmed by the computer simulation of different approximation problems including the problem of pattern recognition.
About the Author
V. S. Mukha
Belarusian State University of Informatics and Radioelectronics
Belarus
Belarus
Vladimir S. Mukha – Dr. Sc. (Engineering), Professor, Professor of the Department of Information Technologies of Automated Systems
6, P. Brovka Str., 220013, Minsk
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