Comparative analysis of the methods of neural networks and hierarchical approximation in image filtering problems
V. V. Sergeyev, V. N. Kopenkov, and A. V. Chernov
Samara
Pages: 86-91
Abstract
Two different nonlinear methods of multidimensional regression approximation, namely, neural networks and hierarchical approximation of function, are considered. The methods are applied to image filtering problems in the conditions of existing a priori information in the form of a pair of images interpreted as
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