Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm
Dmitrienko V. D*, Yu. Zakovorotnyi A, Yu. Leonov S, Khavina I. PNational Technical University "Kharkov Polytechnic Institute", Kharkov, Ukraine
Abstract
A new discrete neural networks adaptive resonance theory (ART), which allows solving problems with multiple solutions, is developed. New algorithms neural networks teaching ART to prevent degradation and reproduction classes at training noisy input data is developed. Proposed learning algorithms discrete ART networks, allowing obtaining different classification methods of input.
Keywords: Degradation of breeding classes, learning algorithms, neural network adaptive resonance theory, problems with multiple solutions..
Article Information
Article History:
Received Date: 10/1/2014
Revision Received Date: 24/3/2014
Acceptance Date: 25/3/2014
Electronic publication date: 9
/9/2014
Collection year: 2014
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© Dmitrienko et al.; Licensee Bentham Open.
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* Address correspondence to this author at the National Technical University "Kharkov Polytechnic Institute", Kharkov, Ukraine; Tel: +380577076198; E-mail: valdmitrienko@gmail.com