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Proceedings Paper

Conditions of convergence of back-propagation learning algorithm
Author(s): Akylbek Amatovich Jeenbekov; A. A. Sarybaeva
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Paper Abstract

In this work properties of various parameters of sigma- function mathematically are described, because of which the influence of these parameters on the speed of convergence of the back-propagation learning algorithm for feedforward neural networks is shown. Because of it, installing optimum conditions and entering some restrictions on parameters the new modified algorithm is received which converges to the necessary solution much faster.

Paper Details

Date Published: 14 June 2000
PDF: 7 pages
Proc. SPIE 4148, Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing, (14 June 2000); doi: 10.1117/12.388435
Show Author Affiliations
Akylbek Amatovich Jeenbekov, Kyrgyz-Russian Slavic Univ. (Kirgizstan)
A. A. Sarybaeva, Kyrgyz-Russian Slavic Univ. (Kirgizstan)


Published in SPIE Proceedings Vol. 4148:
Optoelectronic and Hybrid Optical/Digital Systems for Image and Signal Processing
Simon B. Gurevich; Zinovii T. Nazarchuk; Leonid I. Muravsky, Editor(s)

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