Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition [electronic resource] /
Melin, Patricia.editor.
Pedrycz, Witold.editor.
"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.
Bibliographic Level Mode of Issuance: Monograph
Includes bibliographical references and index.
Introductory Concepts and Models -- A Survey of Applications of the Extensions of Fuzzy Sets to Image Processing -- Interval Type-2 Fuzzy Cellular Model Applied to the Dynamics of a Uni-specific Population Induced by Environment Variations -- A Genetic Programming Approach to the Design of Interest Point Operators -- Modular Neural Networks in Pattern Recognition -- Face, Fingerprint and Voice Recognition with Modular Neural Networks and Fuzzy Integration -- Modular Neural Networks with Fuzzy Response Integration for Signature Recognition -- Intelligent Hybrid System for Person Identification Using Biometric Measures and Modular Neural Networks with Fuzzy Integration of Responses -- Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry -- Comparative Study of Fuzzy Methods for Response Integration in Ensemble Neural Networks for Pattern Recognition -- Neural Network Models and Time Series Prediction -- Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction -- Prediction of the MXNUSD Exchange Rate Using Hybrid IT2 FLS Forecaster -- Discovering Universal Polynomial Cellular Neural Networks through Genetic Algorithms -- EMG Hand Burst Activity Detection Study Based on Hard and Soft Thresholding -- Optimization and Robotics -- Modular Neural Networks Architecture Optimization with a New Evolutionary Method Using a Fuzzy Combination Particle Swarm Optimization and Genetic Algorithms -- A Multi-agent Architecture for Controlling Autonomous Mobile Robots Using Fuzzy Logic and Obstacle Avoidance with Computer Vision -- Particle Swarm Optimization Applied to the Design of Type-1 and Type-2 Fuzzy Controllers for an Autonomous Mobile Robot.
"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.
Optical data processing.
Applied mathematics.
Engineering mathematics.
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Image Processing and Computer Vision.
Mathematical and Computational Engineering.
Artificial Intelligence.
Signal, Image and Speech Processing.
Computer Imaging, Vision, Pattern Recognition and Graphics.

Studies in Computational Intelligence