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计算机工程 ›› 2007, Vol. 33 ›› Issue (08): 190-192. doi: 10.3969/j.issn.1000-3428.2007.08.067

• 人工智能及识别技术 • 上一篇    下一篇

基于多Agent客户识别的反洗钱系统研究

陈 起,崔颖安,崔杜武   

  1. (西安理工大学计算机科学与工程学院,西安 710048)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-04-20 发布日期:2007-04-20

Research on Anti-money Laundering System Based on Multi-agent and Customer Pattern Recognition

CHEN Qi, CUI Yingan, CUI Duwu   

  1. (School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-04-20 Published:2007-04-20

摘要: 针对现行的反洗钱系统的缺陷,该文将模式识别Agent引入反洗钱系统设计,充分发挥Agent系统自主性、反应性、协作性的特点,构造了基于多Agent客户识别的反洗钱系统模型。并对多Agent通信、协商、实现与支持向量机模式识别等关键技术进行了研究。从而为反洗钱系统的实现提供了支持。

关键词: 反洗钱, 多Agent, 模式识别

Abstract: Aiming at the faults of current anti-money laundering system, this paper takes full advantage of agent system which is autonomy, reactivity and initiative to constructs the model of anti-money laundering system based on multi-agent with pattern recognition. And researches on Rey problems such as communication, negotiation and realization of multi-agent and pattern recognition using SVM are made to offer support for realization of anti-money laundering system.

Key words: Anti-money laundering, Multi-agent, Pattern recognition

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