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
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
CLC Number:
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(08): 190-192.
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(08): 190-192.