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Article information
2009 , Volume 14, ¹ 1, p.80-84
Ignatjev N.A.
An approximation for continuous functions using synthesis of neural networks with minimal configuration
A solution for the problem of numerical approximation of continuous functions in space of quantitative and polytypic signs is considered using a synthesis of neural networks with the minimum configuration.
[full text]
Keywords: neural networks, numerical approximation, polytypic signs
Author(s):
Ignatjev NikolayA.
Dr. , Associate Professor
Position: Professor
Office: National University of Uzbekistan
Address: 100022, Uzbekistan, Tashkent
Phone Office: (99871) 246-16-27
E-mail: n_ignatev@rambler.ru
Bibliography link:
Ignatjev N.A. An approximation for continuous functions using synthesis of neural networks with minimal configuration // Computational technologies. 2009. V. 14. ¹ 1. P. 80-84
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