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基于多Agent客户识别的反洗钱系统研究
引用本文:陈起,崔颖安,崔杜武. 基于多Agent客户识别的反洗钱系统研究[J]. 计算机工程, 2007, 33(8): 190-192
作者姓名:陈起  崔颖安  崔杜武
作者单位:西安理工大学计算机科学与工程学院,西安,710048;西安理工大学计算机科学与工程学院,西安,710048;西安理工大学计算机科学与工程学院,西安,710048
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
文章编号:1000-3428(2007)08-0190-03
修稿时间:2006-05-15

Research on Anti-money Laundering System Based on Multi-agent and Customer Pattern Recognition
CHEN Qi,CUI Yingan,CUI Duwu. Research on Anti-money Laundering System Based on Multi-agent and Customer Pattern Recognition[J]. Computer Engineering, 2007, 33(8): 190-192
Authors:CHEN Qi  CUI Yingan  CUI Duwu
Affiliation:(School of Computer Science and Engineering, Xi’an University of Technology, Xi’an 710048)
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.
Keywords:Anti-money laundering   Multi-agent   Pattern recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
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