Engineering Applications of Soft Computing

✍ Scribed by Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas

• Publisher: Springer
• Year: 2017
• Tongue: English
• Leaves: 268
• Series: Intelligent Systems Reference Library 129
• Category: Library

✦ Synopsis

This book bridges the gap between Soft Computing techniques and their applications to complex engineering problems. In each chapter we endeavor to explain the basic ideas behind the proposed applications in an accessible format for readers who may not possess a background in some of the fields. Therefore, engineers or practitioners who are not familiar with Soft Computing methods will appreciate that the techniques discussed go beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas. At the same time, the book will show members of the Soft Computing community how engineering problems are now being solved and handled with the help of intelligent approaches.

Highlighting new applications and implementations of Soft Computing approaches in various engineering contexts, the book is divided into 12 chapters. Further, it has been structured so that each chapter can be read independently of the others.

✦ Table of Contents

Front Matter....Pages i-xv
Introduction....Pages 1-12
Motion Estimation Algorithm Using Block-Matching and Harmony Search Optimization....Pages 13-44
Gravitational Search Algorithm Applied to Parameter Identification for Induction Motors....Pages 45-57
Color Segmentation Using LVQ Neural Networks....Pages 59-75
Global Optimization Using Opposition-Based Electromagnetism-Like Algorithm....Pages 77-100
Multi-threshold Segmentation Using Learning Automata....Pages 101-127
Real-Time Gaze Control Using Neurofuzzy Prediction System....Pages 129-141
Clonal Selection Algorithm Applied to Circle Detection....Pages 143-164
States of Matter Algorithm Applied to Pattern Detection....Pages 165-192
Artificial Bee Colony Algorithm Applied to Multi-threshold Segmentation....Pages 193-214
Learning Automata Applied to Planning Control....Pages 215-237
Fuzzy-Based System for Corner Detection....Pages 239-258