摘要
人工智能技术的发展为价格预测仿真提供了高效准确的工具。基于此,通过分析,将影响股票价格的因素抽象出来,以百度公司的上市股票为研究对象,统计了若干其他纳斯达克的历史数据作为训练样本,借助人工神经网络(ANN),结合遗传算法(GA),把最佳的新股上市价格给确定出来。
The development of artificial intelligence technology provides an effective tool for the price forecasting. According to this point,this paper takes the marketing stock of Baidu Company as an example in order to take out the factor of influencing the stock price. It will settle the most suitable IPO price of new stock, making use of the training stylebook of other Nasdaq history index and in virtue of GA&ANN.
出处
《辽宁工程技术大学学报(社会科学版)》
2007年第5期478-480,共3页
Journal of Liaoning Technical University(Social Science Edition)