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

  • Authors:
  • Patricia Melin;Janusz Kacprzyk;Witold Pedrycz

  • Affiliations:
  • -;-;-

  • Venue:
  • Bio-Inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition
  • Year:
  • 2009

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Abstract

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 into 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 in which both theoretical and application aspects are covered.