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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Melin, Patricia (Επιμελητής έκδοσης), Kacprzyk, Janusz (Επιμελητής έκδοσης), Pedrycz, Witold (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
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.