A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov, “Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems”, Artificial Intelligence and Decision Making, 2008, Issue 2,Pages <nobr>24

This article is cited in 4 papers

Soft computing

Analysis of the efficiency of applying artificial neuron networks for solving recognition, compression, and prediction problems

A. A. Talalaev^a, I. P. Tishchenko^a, V. P. Fralenko^a, V. M. Khachumov^b

^a Ailamazyan Program Systems Institute of Russian Academy of Sciences
^b Institute for Systems Analysis of Russian Academy of Sciences

Abstract: The paper summarizes the experience of developing the PS ANN image recognition software system based on artificial neural networks (ANNs). The real abilities of neural networks to solve image recognition, data compression, and extrapolation problems are demonstrated. The results of experimental studies on accelerating parallel task computations are presented.

Keywords: artificial neural network, algorithm, recognition, image, efficiency, parallel computation, parallel computing system.