Home           Contact us           FAQs           
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
2013 (Vol. 5, Issue: 23)
Article Information:

Self-Adaptive Pattern Recognition Based on Multi-Agent

Jianhua Liu and Xianyi Cheng
Corresponding Author:  Jianhua Liu 

Key words:  Cooperation, multi-agent systems, pattern recognition, self-adaptation, , ,
Vol. 5 , (23): 5420-5424
Submitted Accepted Published
November 24, 2012 January 17, 2013 May 28, 2013

Pattern recognition consists in finding a correspondence between patterns and their prototypes. Intrinsically, it is a distributed process in terms of goals to be reached, zones to be processed and methods to be applied. In this paper, a multi-agent based self-adaptive pattern recognition framework is proposed to cope with the difficulties in the procedure. Each agent is dedicated to recognize a single kind of pattern and communicate with other agents. The cooperation between them reinforces the object-model correspondence hypothesis of each agent and leads to the self-adaptation of their recognition results in order to reach a consistent and integrated interpretation of the whole image. The experiment result validates this approach especially in the flexibility and expansibility of the system.
Abstract PDF HTML
  Cite this Reference:
Jianhua Liu and Xianyi Cheng, 2013. Self-Adaptive Pattern Recognition Based on Multi-Agent.  Research Journal of Applied Sciences, Engineering and Technology, 5(23): 5420-5424.
    Advertise with us
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved