%0 Journal Article
%T Computational Intelligence Approach for Discovering\= the Prediction Model of Financial Market<br>发现金融市场预测模型的计算智能方法
%A TONG Fu
%A FEI Liangjun
%A <br>童兆页
%A 费良俊
%J 软件学报
%D 1999
%I 
%X The nature of the stock market data is briefly discussed first. It follows a brief discussion on the nature of the methodology of computational intelligence and their application perspectives for data mining. An experimental system for discovering the trend of market price changing and the prediction model from the stock exchange data records are proposed, in which, the training parameters of a neural network are optimized and defined by running the genetic algorithm along with the training procedure of the neural network.The ideas of design and the techniques of implementation are described in detail in this paper.Taking arbitrary the Shanghai First Department Store for case study,the experimental results are given finally.
%K Financial market prediction
%K computational intelligence
%K genetic algorithm
%K neural network<br>金融市场预测
%K 计算智能
%K 遗传算法
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=DDCCF5CAE7970B21&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=E158A972A605785F&sid=396DD691E964F390&eid=87545994EC2C1F12&journal_id=1000-9825&journal_name=软件学报&referenced_num=5&reference_num=15