Modified Learning Algorithm for GMDH-Wavelet-Neuro-Fuzzy-Network in Information Technologies
In the paper modified learning algorithm for GMDH-wavelet-neuro-fuzzy-network in information technologies is proposed. For Wavelet-Neuro-Fuzzy-Network structure optimization based on Group Method of Data Handling (GMDH) is developed and the method of structure optimization is described. Such hybrid...
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| Date: | 2013 |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Міжнародний науково-навчальний центр інформаційних технологій і систем НАН та МОН України
2013
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| Series: | Індуктивне моделювання складних систем |
| Subjects: | |
| Online Access: | https://nasplib.isofts.kiev.ua/handle/123456789/83665 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Modified Learning Algorithm for GMDH-Wavelet-Neuro-Fuzzy-Network in Information Technologies / O. Vynokurova // Індуктивне моделювання складних систем: Зб. наук. пр. — К.: МННЦ ІТС НАН та МОН України, 2013. — Вип. 5. — С. 130-139. — Бібліогр.: 14 назв. — англ. |
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Digital Library of Periodicals of National Academy of Sciences of Ukraine| Summary: | In the paper modified learning algorithm for GMDH-wavelet-neuro-fuzzy-network in information technologies is proposed. For Wavelet-Neuro-Fuzzy-Network structure optimization based on Group Method of Data Handling (GMDH) is developed and the method of structure optimization is described. Such hybrid systems can be used for solving many tasks including signal identification and prediction, person authentication, information classification and clustering, developing pseudo-random generator based on neural networks in cryptography and etc. The experimental investigations were carried out and their results accuracy of data processing by optimally constructed Wavelet-Neuro-Fuzzy-Network and network with multilayer feedforward architecture are presented and compared. |
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