Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition

✍ Scribed by Humberto Bustince, Miguel Pagola, Aranzazu Jurio, Edurne Barrenechea, Javier Fernández (auth.), Patricia Melin, Janusz Kacprzyk, Witold Pedrycz (eds.)

Publisher: Springer-Verlag Berlin Heidelberg
Year: 2009
Tongue: English
Leaves: 253
Series: Studies in Computational Intelligence 256
Edition: 1
Category: Library

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✦ Synopsis

"Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition" comprises papers on diverse aspects of bio-inspired models, soft computing and hybrid intelligent systems. The articles are divided in four main parts. The first one consists of papers that propose new fuzzy and bio-inspired models to solve general problems. The second part deals with the main theme of modular neural networks in pattern recognition, which are basically papers using bio-inspired techniques. The third part contains papers that apply hybrid intelligent systems to the problem of time series analysis and prediction, while the fourth one shows papers dealing with bio-inspired models in optimization and robotics applications. An edited book where both theoretical and application aspects are covered.

✦ Table of Contents

Front Matter....Pages -
Front Matter....Pages 1-1
A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing....Pages 3-32
Interval Type-2 Fuzzy Cellular Model Applied to the Dynamics of a Uni-specific Population Induced by Environment Variations....Pages 33-47
A Genetic Programming Approach to the Design of Interest Point Operators....Pages 49-65
Front Matter....Pages 67-67
Face, Fingerprint and Voice Recognition with Modular Neural Networks and Fuzzy Integration....Pages 69-79
Modular Neural Networks with Fuzzy Response Integration for Signature Recognition....Pages 81-91
Intelligent Hybrid System for Person Identification Using Biometric Measures and Modular Neural Networks with Fuzzy Integration of Responses....Pages 93-109
Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry....Pages 111-121
Comparative Study of Fuzzy Methods for Response Integration in Ensemble Neural Networks for Pattern Recognition....Pages 123-140
Front Matter....Pages 141-141
Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction....Pages 143-155
Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster....Pages 157-164
Discovering Universal Polynomial Cellular Neural Networks through Genetic Algorithms....Pages 165-175
EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding....Pages 177-195
Front Matter....Pages 197-197
Modular Neural Networks Architecture Optimization with a New Evolutionary Method Using a Fuzzy Combination Particle Swarm Optimization and Genetic Algorithms....Pages 199-213
A Multi-agent Architecture for Controlling Autonomous Mobile Robots Using Fuzzy Logic and Obstacle Avoidance with Computer Vision....Pages 215-246
Particle Swarm Optimization Applied to the Design of Type-1 and Type-2 Fuzzy Controllers for an Autonomous Mobile Robot....Pages 247-262
Back Matter....Pages -

✦ Subjects

Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Signal, Image and Speech Processing; Computer Imaging, Vision, Pattern Recognition and Graphics

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