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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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Computational Intelligence

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the;

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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

Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current;

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Understanding Neural Networks And Fuzzy Logic

presented in this book provide excellent tools for progressive learning. UNDERSTANDING NEURAL NETWORKS AND FUZZY LOGIC offers a simple presentation;

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Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools

decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. Fuzzy logic together with multi;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

We describe in this book, recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid;

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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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Artificial Intelligence and Expert Systems

engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems;

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Neural Networks & Fuzzy-Logic Control On Personal Computers & Workstations + D3

algorithms with pulldown menus. This hands-on tutorial demonstrates both neural networks and fuzzy-logic control with a different approach. A natural;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

This book describes recent advances on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a;

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Knowledge-Based Neurocomputing

integrates the merits of symbolic fuzzy rule-bases and sub-symbolic artificial neural networks, and yields a new approach for knowledge-based;

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Artificial Intelligence for Smarter Power Systems

book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy;

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Uncertain Rule-Based Fuzzy Logic Systems

For courses in Neural Networks and Fuzzy Systems; Fuzzy Systems/Control; Fuzzy Logic.The first book of its kind, this text explains how all;

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Learning from Data

An interdisciplinary framework for learning methodologies-covering statistics, neural networks, and fuzzy logic, this book provides a;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

with complicated nonlinear actuator dynamics. This book brings neural networks and fuzzy logic together with dynamical control systems. Each;

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Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms

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

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

of fuzzy logic as medium between human intelligence and machine.;

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Fundamentals of Computational Intelligence

, and recurrent neural networks * Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy;

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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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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

and innovative handling of problems. This book showcases the combination of fuzzy logic and neural networks known as a neuro-fuzzy system;

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Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

) approach, thus resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical;

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