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Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design

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Cover of 'Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design'

Table of Contents

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    Book Overview
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    Chapter 1 On Decision Making Applications via Distance Measures
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    Chapter 2 On Intuitionistic Fuzzy Abstract Algebras
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    Chapter 3 Generalization of Intuitionistic Fuzzy Submodules of a Module by Using Triangular Norms and Conorms and (T,S)-L Subrings
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    Chapter 4 Fuzzy Dynamic Parameter Adaptation in the Mayfly Algorithm: Implementation of Fuzzy Adaptation and Tests on Benchmark Functions and Neural Networks
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    Chapter 5 Fuzzy Classifier Using the Particle Swarm Optimization Algorithm for the Diagnosis of Arterial Hypertension
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    Chapter 6 A Survey of Models and Solution Methods for the Internet Shopping Optimization Problem
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    Chapter 7 A Comparison Between MFCC and MSE Features for Text-Independent Speaker Recognition Using Machine Learning Algorithms
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    Chapter 8 Forecasting Based on Fuzzy Logic of the Level of Epidemiological Risk for the Mexican State of Tamaulipas
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    Chapter 9 Bio-inspired Flower Pollination Algorithm for the Optimization of a Monolithic Neural Network
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    Chapter 10 Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control
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    Chapter 11 Optimizing a Convolutional Neural Network with a Hierarchical Genetic Algorithm for Diabetic Retinopathy Detection
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    Chapter 12 Interval Type-3 Fuzzy Systems: A Natural Evolution from Type-1 and Type-2 Fuzzy Systems
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    Chapter 13 A Comparative Study Between Bird Swarm Algorithm and Artificial Gorilla Troops Optimizer
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    Chapter 14 Particle Swarm Optimization of Convolutional Neural Networks for Diabetic Retinopathy Classification
Attention for Chapter 10: Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control
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Chapter title
Rendezvous and Docking Control of Satellites Using Chaos Synchronization Method with Intuitionistic Fuzzy Sliding Mode Control
Chapter number 10
Book title
Fuzzy Logic and Neural Networks for Hybrid Intelligent System Design
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-22042-5_10
Book ISBNs
978-3-03-122041-8, 978-3-03-122042-5
Authors

Silahtar, Onur, Kutlu, Fatih, Atan, Özkan, Castillo, Oscar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Student > Doctoral Student 1 100%
Readers by discipline Count As %
Engineering 2 200%