Theory and Applications of Fuzzy Systems and Neural Networks
Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields, such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
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| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2026
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://directory.doabooks.org/handle/20.500.12854/170663 |
| ট্যাগগুলো: |
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| _version_ | 1869517379141107712 |
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| collection | Directory of Open Access Books |
| description | Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields, such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics, consumer electronics, and system optimisation. They provide an effective tool for data and knowledge-based modelling that deals with many real-world problems with quantitative and qualitative complexity in terms of dimensionality and uncertainty. Fuzzy systems and neural networks complement each other and can be combined with other computational and artificial intelligence-based techniques, such as evolutionary algorithms and machine learning, to solve complex real-world problems. The integration of fuzzy systems and neural networks, in particular, can bring out the best of both approaches and usually provides better system performances in terms of modelling efficiency and accuracy. This reprint features original research of the highest scientific quality related to the theory and applications of fuzzy systems and neural networks. It includes original and unpublished works that present innovative methods for enhancing fuzzy systems and neural networks. Its scope includes systematic and empirical studies that contribute to significant novel developments in the theoretical and applied aspects of research in the field. |
| format | Online |
| id | doab-20.500.12854ir-170663 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1706632026-01-02T16:23:08Z Theory and Applications of Fuzzy Systems and Neural Networks Gegov, Alexander Jafari, Raheleh fuzzy systems neural networks intelligent systems computational intelligence artificial intelligence machine learning Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields, such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics, consumer electronics, and system optimisation. They provide an effective tool for data and knowledge-based modelling that deals with many real-world problems with quantitative and qualitative complexity in terms of dimensionality and uncertainty. Fuzzy systems and neural networks complement each other and can be combined with other computational and artificial intelligence-based techniques, such as evolutionary algorithms and machine learning, to solve complex real-world problems. The integration of fuzzy systems and neural networks, in particular, can bring out the best of both approaches and usually provides better system performances in terms of modelling efficiency and accuracy. This reprint features original research of the highest scientific quality related to the theory and applications of fuzzy systems and neural networks. It includes original and unpublished works that present innovative methods for enhancing fuzzy systems and neural networks. Its scope includes systematic and empirical studies that contribute to significant novel developments in the theoretical and applied aspects of research in the field. 2026-01-02T16:23:05Z 2026-01-02T16:23:05Z 2025 book 978-3-7258-4807-2 https://directory.doabooks.org/handle/20.500.12854/170663 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/11392 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4808-9 10.3390/books978-3-7258-4808-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 978-3-7258-4807-2 238 CH open access |
| spellingShingle | fuzzy systems neural networks intelligent systems computational intelligence artificial intelligence machine learning Theory and Applications of Fuzzy Systems and Neural Networks |
| title | Theory and Applications of Fuzzy Systems and Neural Networks |
| title_full | Theory and Applications of Fuzzy Systems and Neural Networks |
| title_fullStr | Theory and Applications of Fuzzy Systems and Neural Networks |
| title_full_unstemmed | Theory and Applications of Fuzzy Systems and Neural Networks |
| title_short | Theory and Applications of Fuzzy Systems and Neural Networks |
| title_sort | theory and applications of fuzzy systems and neural networks |
| topic | fuzzy systems neural networks intelligent systems computational intelligence artificial intelligence machine learning |
| topic_facet | fuzzy systems neural networks intelligent systems computational intelligence artificial intelligence machine learning |
| url | https://directory.doabooks.org/handle/20.500.12854/170663 |