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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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Nature-inspired Optimization of Type-2 Fuzzy Neural Hybrid Models for Classification in Medical Diagnosis

professors aiming at proposing and developing new intelligent models for medical diagnosis. In addition, it also will be of interest for people;

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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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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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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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Recent Advances on Hybrid Approaches for Designing Intelligent Systems

applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically;

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

interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also;

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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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Neuro Fuzzy Hybrid Models for Classification in Medical Diagnosis

This book is focused on the use of intelligent techniques, such as fuzzy logic, neural networks and bio-inspired algorithms, and their;

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Bio-Inspired Hybrid Intelligent Systems For Image Analysis And Pattern Recognition

Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition comprises papers on diverse aspects of bio-inspired;

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New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest;

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New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

perform diagnosis; some of these methods are, for example, artificial neural networks (can be very powerful to find tendencies), support vector;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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Evolutionary Machine Learning Techniques

methods for classification, clustering, regression, and prediction, it includes techniques such as support vector machines, extreme learning;

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Type 2 Fuzzy Neural Networks and Their Applications

, system identification and other real problems. Type-2 Fuzzy Neural Networks and Their Applications is helpful for teachers and students;

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Fuzzy Neural Networks for Real Time Control Applications

AN INDISPENSABLE RESOURCE FOR ALL THOSE WHO DESIGN AND IMPLEMENT TYPE-1 AND TYPE-2 FUZZY NEURAL NETWORKS IN REAL TIME SYSTEMS

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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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Soft Computing Techniques for Type-2 Diabetes Data Classification

in classifier predictive accuracy is very important for medical diagnosis purposes where mistakes can cause a lot of damage to patient's life. Hence, we;

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Type 2 Fuzzy Granular Models

is proposed. A series of methods for the formation of higher-type information granules represented by Interval Type-2 Fuzzy Sets are also shown, via;

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Soft Computing with NeuroFuzzy Systems

recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis

Classification Techniques for Medical Image Analysis and Computer Aided Diagnosis covers the most current advances on how to apply;

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Handbook of Decision Support Systems for Neurological Disorders

diagnosis systems for neurological disorders. While computer-aided decision support systems for different medical imaging modalities are available;

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Genetic Algorithms, Fuzzy Systems & Website Classification

discussed include genetic algorithm for optimal design of fuzzy classifiers; design and analysis of type-2 fuzzy PI controller; selection of supply;

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Advances in Swarm and Computational Intelligence

methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches;

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Advances in Swarm and Computational Intelligence

methods; multi-objective optimization; multi-agent systems and swarm robotics; Neural networks and fuzzy methods; data mining approaches;

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