Study and Design on China Stock Market Simulation Model

摘要：

Based on behavioral finance and experimental economics theory, this paper analyze stock market microstructure, and through the application of object-oriented modeling methods and neural network learning methods to mimic the behavior and attributes of the subject within the system. Thus to format Chinas stock market risk multi-subject model, and provide theoretical support and logical framework for the computer simulation, finally complete the entire stock market simulation system Construction. *

关键词： Stock Market artificial neural network object-oriented Simulation

作者: Ao Shan Dong Jingjing Zhu Ge

作者单位: Computer Science and Technology School Henan Polytechnic University Henan, China Insitute of Educati The Department of Information Technology Zhengzhou Broadcasting Movie and Television School Zhengzho School of Information Management Beijing Information Science & Technology University Beijing, China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 431-435

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）