Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Melin, Patricia. (Editor ), Pedrycz, Witold. (Editor )
Formato: eBook
Lenguaje:English
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edición:1st ed. 2009.
Colección:Studies in Computational Intelligence, 256
Materias:
Tabla de Contenidos:
  • 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.