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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

  • Book
  • © 2020

Overview

Editors:
  1. Oscar Castillo

    1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

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    You can also search for this editor in PubMed   Google Scholar

  2. Patricia Melin

    1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

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    You can also search for this editor in PubMed   Google Scholar

  • Presents the latest research on Intelligent Systems applied to Control, Pattern Recognition and Medicine
  • Describes recent advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems
  • Written by respected experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 827)

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Table of contents (24 chapters)

  1. Front Matter

    Pages i-ix
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  3. Pattern Recognition

    1. Front Matter

      Pages 57-57
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    2. Particle Swarm Algorithm for the Optimization of Modular Neural Networks in Pattern Recognition

      • Beatriz Gonzalez, Patricia Melin, Fevrier Valdez
      Pages 59-69

    3. Optimal Recognition Model Based on Convolutional Neural Networks and Fuzzy Gravitational Search Algorithm Method

      • Yutzil Poma, Patricia Melin, Claudia I. González, Gabriela E. Martinez
      Pages 71-81

    4. Optimal Number of Clusters Finding Using the Fireworks Algorithm

      • Juan Barraza, Fevrier Valdez, Patricia Melin, Claudia González
      Pages 83-93

  4. Metaheuristics: Theory and Applications

    1. Front Matter

      Pages 95-95
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    2. Harmony Search with Dynamic Adaptation of Parameters for the Optimization of a Benchmark Set of Functions

      • Cinthia Peraza, Fevrier Valdez, Oscar Castillo
      Pages 97-108

    3. Type-2 Fuzzy Logic for Dynamic Parameter Adaptation in the Imperialist Competitive Algorithm

      • Emer Bernal, Oscar Castillo, José Soria, Fevrier Valdez
      Pages 109-118

    4. Fuzzy Flower Pollination Algorithm to Solve Control Problems

      • Hector Carreon, Fevrier Valdez, Oscar Castillo
      Pages 119-154

    5. Constrained Real-Parameter Optimization Using the Firefly Algorithm and the Grey Wolf Optimizer

      • Luis Rodríguez, Oscar Castillo, Mario García, José Soria
      Pages 155-167

    6. The Differential Evolution Algorithm with a Fuzzy Logic Approach for Dynamic Parameter Adjustment Using Benchmark Functions

      • Patricia Ochoa, Oscar Castillo, José Soria
      Pages 169-179

    7. A Comparison of ACO, GA and SA for Solving the TSP Problem

      • Fevrier Valdez, Francisco Moreno, Patricia Melin
      Pages 181-189

  5. Medical Applications

    1. Front Matter

      Pages 191-191
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    2. Hybrid Model Based on Neural Networks and Fuzzy Logic for 2-Lead Cardiac Arrhythmia Classification

      • Eduardo Ramírez, Patricia Melin, German Prado-Arechiga
      Pages 193-217

    3. Comparative Study of Bio-inspired Algorithms Applied in the Optimization of Fuzzy Systems

      • Ivette Miramontes, Patricia Melin, German Prado-Arechiga
      Pages 219-231
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Keywords

About this book

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their applications in areas such as: intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction, and optimization of complex problems. The book is divided into five main parts. The first part proposes new concepts and algorithms based on type-1 and type-2 fuzzy logic and their applications; the second explores new concepts and algorithms in neural networks and fuzzy logic applied to recognition. The third part examines the theory and practice of meta-heuristics in various areas of application, while the fourth highlights diverse applications of fuzzy logic, neural networks and hybrid intelligent systems in medical contexts. Finally, the fifth part focuses on applications of fuzzy logic, neural networks and meta-heuristics to robotics problems.

Editors and Affiliations

  • Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo, Patricia Melin

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