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Article Information:
Self-Adaptive Pattern Recognition Based on Multi-Agent
Jianhua Liu and Xianyi Cheng
Corresponding Author: Jianhua Liu
Submitted: November 24, 2012
Accepted: January 17, 2013
Published: May 28, 2013 |
Abstract:
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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.
Key words: Cooperation, multi-agent systems, pattern recognition, self-adaptation, , ,
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Cite this Reference:
Jianhua Liu and Xianyi Cheng, . Self-Adaptive Pattern Recognition Based on Multi-Agent. Research Journal of Applied Sciences, Engineering and Technology, (23): 5420-5424.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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