Fuzzy models and networks
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The book is devoted to the study of fuzzy models used to describe, analyze and model complex weakly formalized systems and processes, as well as issues of constructing, training and using, firstly, fuzzy neural networks that implement fuzzy production, relational and functional models, secondly, neural fuzzy networks, characterized by the introduction of fuzziness into various components of traditional neural networks. The main types of fuzzy models of systems and processes displayed by graph-based structures are considered. Particular attention is paid to the analysis of methods for constructing, modeling and using fuzzy cognitive maps that implement advanced capabilities for the analysis and modeling of complex systems. For specialists in the field of computer science, computer technology, analysis and modeling of complex systems and processes involved in the creation and use of intelligent systems, as well as for graduate students and students of relevant specialties.
Data sheet
- Name of the Author
- Александр Федулов Сергеевич
Вадим Борисов Владимирович
Владимир Круглов Васильевич - Language
- Russian