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Recent Advances on Hybrid Intelligent Systems

  • Book
  • © 2013

Overview

Editors:
  1. Oscar Castillo

    1. Chula Vista, USA

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  2. Patricia Melin

    1. Chula Vista, USA

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  3. Janusz Kacprzyk

    1. Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

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  • Latest research on Hybrid Intelligent Systems
  • Comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems for control, mobile robotics, pattern recognition, time series prediction and other complex real world problems
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 451)

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About this book

This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

 

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Table of contents (42 chapters)

  1. Front Matter

    Pages 1-10
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  2. Hybrid Intelligent Systems for Control and Robotics

    1. Front Matter

      Pages 1-1
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    2. Optimization of a Fuzzy Tracking Controller for an Autonomous Mobile Robot under Perturbed Torques by Means of a Chemical Optimization Paradigm

      • Leslie Astudillo, Patricia Melin, Oscar Castillo
      Pages 3-20

    3. Evolutionary Optimization of the Fuzzy Integrator in a Navigation System for a Mobile Robot

      • Abraham Meléndez, Oscar Castillo
      Pages 21-31

    4. Particle Swarm Optimization for Average Approximation of Interval Type-2 Fuzzy Inference Systems Design in FPGAs for Real Applications

      • Yazmin Maldonado, Oscar Castillo, Patricia Melin
      Pages 33-49

    5. Genetic Optimization of Membership Functions in Modular Fuzzy Controllers for Complex Problems

      • Leticia Cervantes, Oscar Castillo
      Pages 51-62

    6. Designing Systematic Stable Fuzzy Logic Controllers by Fuzzy Lyapunov Synthesis

      • María Concepción Ibarra, Oscar Castillo, Jose Soria
      Pages 63-79

    7. Design of Fuzzy Control Systems with Different PSO Variants

      • Resffa Fierro, Oscar Castillo
      Pages 81-88

    8. Methodology to Design Fuzzy Logic Controller for Soft-Core Embedded into FPGA

      • Roberto Sepúlveda, Oscar Montiel-Ross, Jorge Quiñones
      Pages 89-96

    9. Optimization of Membership Functions for Type-1 and Type 2 Fuzzy Controllers of an Autonomous Mobile Robot Using PSO

      • San Juana Aguas-Marmolejo, Oscar Castillo
      Pages 97-104

  3. Hybrid Intelligent Systems for Pattern Recognition and Time Series Prediction

    1. Front Matter

      Pages 105-105
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    2. Multi-Objective Hierarchical Genetic Algorithm for Modular Neural Network Optimization Using a Granular Approach

      • Daniela Sánchez, Patricia Melin
      Pages 107-120

    3. An Analysis on the Intrinsic Implementation of the Principle of Justifiable Granularity in Clustering Algorithms

      • Mauricio A. Sanchez, Oscar Castillo, Juan R. Castro
      Pages 121-134

    4. Mental Tasks Temporal Classification Using an Architecture Based on ANFIS and Recurrent Neural Networks

      • Emmanuel Morales-Flores, Juan Manuel Ramírez-Cortés, Pilar Gómez-Gil, Vicente Alarcón-Aquino
      Pages 135-146

    5. Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images

      • Felicitas Perez-Ornelas, Olivia Mendoza, Patricia Melin, Juan R. Castro
      Pages 147-157

    6. Genetic Optimization of Type-2 Fuzzy Weight Adjustment for Backpropagation in Ensemble Neural Network

      • Fernando Gaxiola, Patricia Melin, Fevrier Valdez
      Pages 159-171

    7. A New Method for Type-2 Fuzzy Integration in Ensemble Neural Networks Based on Genetic Algorithms

      • Martha Pulido, Patricia Melin
      Pages 173-182

    8. A Hand Geometry Biometric Identification System Utilizing Modular Neural Networks with Fuzzy Integration

      • José Luis Sánchez, Patricia Melin
      Pages 183-199

    9. Development of an Automatic Method for Classification of Signatures in a Recognition System Based on Modular Neural Networks

      • Verónica Carrera, Patricia Melin, Diana Bravo
      Pages 201-210

    10. Architecture of Modular Neural Network in Pattern Recognition

      • Manuel Leobardo Zavala-Arriaza, Fevrier Valdez, Patricia Melin
      Pages 211-219
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Editors and Affiliations

  • Chula Vista, USA

    Oscar Castillo, Patricia Melin

  • Systems Research Institute, Polish Academy of Sciences, Warszawa, Poland

    Janusz Kacprzyk

Bibliographic Information

  • Book Title: Recent Advances on Hybrid Intelligent Systems

  • Editors: Oscar Castillo, Patricia Melin, Janusz Kacprzyk

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-33021-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Hardcover ISBN: 978-3-642-33020-9Published: 11 September 2012

  • Softcover ISBN: 978-3-642-43859-2Published: 15 October 2014

  • eBook ISBN: 978-3-642-33021-6Published: 14 September 2012

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 572

  • Topics: Computational Intelligence, Artificial Intelligence

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