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. The articles are divided in four main parts. The first one consists of papers that propose new fuz...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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Σειρά: | Studies in Computational Intelligence,
256 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.