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Hybrid Intelligent Systems Based On Extensions Of Fuzzy Logic Neural Networks And Metaheuristics Oscar Catillo

  • SKU: BELL-50499158
Hybrid Intelligent Systems Based On Extensions Of Fuzzy Logic Neural Networks And Metaheuristics Oscar Catillo
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Hybrid Intelligent Systems Based On Extensions Of Fuzzy Logic Neural Networks And Metaheuristics Oscar Catillo instant download after payment.

Publisher: Springer Nature Switzerland
File Extension: EPUB
File size: 81.06 MB
Author: Oscar Catillo, PatriCia Melin, (eds.)
ISBN: 9783031289996, 3031289994
Language: English
Year: 2023

Product desciption

Hybrid Intelligent Systems Based On Extensions Of Fuzzy Logic Neural Networks And Metaheuristics Oscar Catillo by Oscar Catillo, Patricia Melin, (eds.) 9783031289996, 3031289994 instant download after payment.

We describe in this book recent theoretical
developments on fuzzy logic, neural networks and metaheuristic
algorithms, as well as their hybrid combinations, and their application
in areas such as intelligent control and robotics, pattern recognition,
medical diagnosis, time series prediction and optimization of complex
problems. There are papers with the main topics of type-1 and type-2
fuzzy logic, which basically consist of a group of papers that propose
new concepts and algorithms based on type-1 and type-2 fuzzy logic and
their applications. There are also papers that present theory and
practice of metaheuristics in diverse areas of application. There are
interesting papers on different applications of fuzzy logic, neural
networks and hybrid intelligent systems in medical problems. In
addition, we can find papers describing applications of fuzzy logic,
neural networks and metaheuristics in robotics problems. Another group
of papers present the theory and practice of neural networks in diverse
application areas, including convolutional and deep learning neural
networks. There are also a group of papers that present the theory and
practice of optimization and evolutionary algorithms in different areas
of application. Finally, we can find a group of papers describing
applications of fuzzy logic, neural networks and metaheuristics in
pattern recognition problems. The papers of the book are organized into
five parts that group together papers with similar theoretical topics or
applications.
In conclusion, the edited book comprises papers on
diverse aspects of fuzzy logic, neural networks and nature-inspired
optimization metaheuristics for designing optimal hybrid intelligent
systems and their application in areas such as intelligent control and
robotics, pattern recognition, decision-making, time series prediction
and optimization of complex problems. There are theoretical aspects as
well as application papers. …

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