Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
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Beschreibung
This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. The book is organized into seven main parts, each with a collection of papers on a similar subject. The first part presents new concepts and algorithms based on type-2 fuzzy logic for dynamic parameter adaptation in meta-heuristics. The second part discusses network theory and applications, and includes papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The third part addresses the theory and practice of meta-heuristics in different areas of application, while the fourth part describes diverse fuzzy logic applications in the control area, which can be considered as intelligent controllers. The next two parts explore applications in areas, such as time series prediction, and pattern recognition and new optimization and evolutionary algorithms and their applications respectively. Lastly, the seventh part addresses the design and application of different hybrid intelligent systems.
Describes recent advances and applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems
Covers theoretical aspects as well as applications, organized into seven main parts
Comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas
Describes recent advances and applications in areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems Covers theoretical aspects as well as applications, organized into seven main parts Comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas
Autor*in
Oscar Castillo
Themen in »Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications«
Type-2 Fuzzy Logic in Metaheuristics Neural Networks Metaheuristics Fuzzy Control Fuzzy Logic Optimization and Evolutionary Algorithms Hybrid Intelligent Systems
Stimmen zu »Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications«
“The book may be useful for scholars trying to identify research topics related to areas such as fuzzy logic, neural networks, and optimization. Many interesting real-world applications greatly enhance the utility of the book. The editors have done a good job of bringing related topics together under various headings.” (S. V. Nagaraj, Computing Reviews, January, 2019)
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