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Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm
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 dis...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bentham Open
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168651/ https://www.ncbi.nlm.nih.gov/pubmed/25246988 http://dx.doi.org/10.2174/1874205X01408010015 |
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author | Dmitrienko, V. D Zakovorotnyi, A. Yu. Leonov, S. Yu. Khavina, I. P |
author_facet | Dmitrienko, V. D Zakovorotnyi, A. Yu. Leonov, S. Yu. Khavina, I. P |
author_sort | Dmitrienko, V. D |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4168651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Bentham Open |
record_format | MEDLINE/PubMed |
spelling | pubmed-41686512014-09-22 Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm Dmitrienko, V. D Zakovorotnyi, A. Yu. Leonov, S. Yu. Khavina, I. P Open Neurol J Article 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. Bentham Open 2014-09-9 /pmc/articles/PMC4168651/ /pubmed/25246988 http://dx.doi.org/10.2174/1874205X01408010015 Text en © Dmitrienko et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited. |
spellingShingle | Article Dmitrienko, V. D Zakovorotnyi, A. Yu. Leonov, S. Yu. Khavina, I. P Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm |
title | Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm |
title_full | Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm |
title_fullStr | Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm |
title_full_unstemmed | Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm |
title_short | Neural Networks Art: Solving Problems with Multiple Solutions and New Teaching Algorithm |
title_sort | neural networks art: solving problems with multiple solutions and new teaching algorithm |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4168651/ https://www.ncbi.nlm.nih.gov/pubmed/25246988 http://dx.doi.org/10.2174/1874205X01408010015 |
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