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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

, and fuzzy logic. After basic concepts of these three approaches are introduced, this book presents recently developed methods known as;

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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine

, and fuzzy logic. After basic concepts of these three approaches are introduced, this book presents recently developed methods known as;

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Neural Networks And Artificial Intelligence For Biomedical Engineering

of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with;

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Recurrence Plots and Their Quantifications: Expanding Horizons

The chapters in this book originate from the research work and contributions presented at the Sixth International Symposium on Recurrence;

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Fuzzy Neural Intelligent Systems

networks, offers a better way of combining fuzzy logic systems with neural networks, and explores some of their engineering applications. Dividing;

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Type 2 Fuzzy Neural Networks and Their Applications

This book deals with the theory, design principles, and application of hybrid intelligent systems using type-2 fuzzy sets in combination;

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Computational Intelligence

the aspects of fuzzy, neural and evolutionary approaches with worked out examples, MATLAB(R) exercises and applications in each chapter;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations;

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Deep Neuro-Fuzzy Systems with Python

relations, and fuzzy inference Review neural networks, back propagation, and optimization Work with different architectures such as Takagi-Sugeno;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

. There are some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and;

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Understanding Neural Networks And Fuzzy Logic

Understand the fundamentals of the emerging field of fuzzy neural networks, their applications and the most used paradigms with this;

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Fuzzy Logic and Neural Networks

In this title, fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

some papers with the main theme of type-1 and type-2 fuzzy logic, which basically consists of papers that propose new concepts and algorithms;

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Fundamentals of Soft Computing and Intelligent System

artificial intelligence, and comprises fuzzy logic, neural networks and probabilistic reasoning techniques. It tries to imitate human reasoning in a;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Computational Intelligence Paradigms

neural networks, fuzzy systems, evolutionary computation, genetic algorithms and programming, and swarm intelligence. It covers numerous;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

current and future, need systematic training in the analytic theory and rigorous design of fuzzy control systems to keep up with and advance the;

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

Systems with Fuzzy Equations and Z-Number presents a structured approach to the control and modeling of uncertain nonlinear systems in industry;

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Fuzzy Graph Theory with Applications to Human Trafficking

This book reports on advanced concepts in fuzzy graph theory, showing a set of tools that can be successfully applied to understanding and;

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Nonlinear Biomedical Signal Processing, Volume 1

newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I;

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Fuzzy Control Systems

theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy;

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A Learner's Guide to Fuzzy Logic Systems, Second Edition

concept of evolving a fuzzy set and fuzzy set operations, fuzzification rule base design and defuzzification and simple guidelines for fuzzy sets;

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Information Processing and Management of Uncertainty

together with five invited talks were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on;

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Fuzzy Logic Augmentation of Neural and Optimization Algorithms Theoretical Aspe

This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their;

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