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Fuzzy Neural Intelligent Systems

, especially their mathematical foundations. Fuzzy Neural Intelligent Systems fills this gap. It develops a mathematical basis for fuzzy neural;

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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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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications;

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications;

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Neuro-fuzzy Control of Industrial Systems with Actuator Nonlinearities

Neural networks and fuzzy systems are model free control design approaches that represent an advantage over classical control when dealing;

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Fuzzy Intelligent Systems - Methodologies, Techniques, and Applications

FUZZY INTELLIGENT SYSTEMS A comprehensive guide to Expert Systems and Fuzzy Logic that is the backbone of artificial intelligence. The;

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Recent Advances of Hybrid Intelligent Systems Based on Soft Computing

in different areas of application. Another group of papers describes diverse applications of fuzzy logic, neural networks and hybrid intelligent;

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Congress on Intelligent Systems

, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised;

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Congress on Intelligent Systems

, intelligent control systems, human motor control, game playing, evolutionary algorithms, swarm optimization, neural network, deep learning, supervised;

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Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms

in different areas of application. Another group of papers describe diverse applications of fuzzy logic, neural networks and hybrid intelligent systems;

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Soft Computing with NeuroFuzzy Systems

This book covers different topics from soft computing and neuro-fuzzy systems, including intelligent neuro-fuzzy models, adaptive neuro;

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Recent Advances in Intelligent Control Systems

according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions;

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Intelligent Control Systems

machines or controlling equipment. These systems utilize fuzzy logic, neural networks, and fuzzy neural networks in principle. Adaptive controls;

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

as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are;

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11th World Conference Intelligent System for Industrial Automation WCIS 2020

intelligent control systems, pattern recognition, Industry 4.0, information security, neural computing, fuzzy and evolutionary computation, decision;

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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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Recent Advances in Intelligent Engineering

This book gathers contributions on fuzzy neural control, intelligent and non-linear control, dynamic systems and cyber-physical systems. It;

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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

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

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Industrial Intelligent Control

as neural networks, fuzzy logic, ruled based, and genetic algorithms. Demonstrates how to develop, design and use intelligent systems to;

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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to;

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Intelligent Computing, Information and Control Systems

sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as;

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

using fuzzy equations and fuzzy differential equations. The first major work to explore methods based on neural networks and Bernstein;

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Intelligent Computing and Applications

neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning;

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Intelligent Signal Processing

Signal Processing explores how ISP tools address the problems of practical neural systems, new signal data, and blind fuzzy approximators. The;

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Intelligent Systems

, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural;

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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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