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Bio-inspired hybrid intelligent systems for image analysis and pattern recognition, 2010 Studies in Computational Intelligence Series, Vol. 256

Langue : Anglais

Coordonnateurs : Melin Patricia, Pedrycz Witold

Couverture de l’ouvrage Bio-inspired hybrid intelligent systems for image analysis and pattern recognition
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.
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.

Recent results in Bio-inspired hybrid intelligent systems for Image Analysis and Pattern Recognition

Date de parution :

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

166,94 €

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