Data Modeling for Searching Abnormal Noise in Stock Market Based on Genetic Algorithm

摘要：

This paper attempts to illustrate the negative impact on Rat Trading in stock market, one of the noise trading forms. In addition, this paper also presents the preliminary design searching the Rat Trading monitoring system including its framework, a genetic algorithm mathematical model, based on genetic algorithm.

关键词： genetic algorithm stock market noise trading Rat Trading monitoring system

作者: LU Jing

作者单位: Institute of Information Technology Zhejiang International Studies University Hangzhou,China

会议类型: 国际会议

会议名称: 2010 International Symposium on Computational Intelligence and Edsign(第三届计算智能与设计国际学术研讨会 ISCID 2010)

会议地点: 杭州

会议语种:英文

页码: 129-131

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）