Stock Market Forecast Based on RBF Neural Network

被引：1

作者：

Ji, Teng ^{[1
]}

Che, Wengang ^{[1
]}

Zong, Nana ^{[1
]}

机构：

[1] Kunming Univ Sci & Technol, Key Lab Comp Technol Applicat Yunnan Prov, Kunming, Peoples R China

来源：

PRACTICAL APPLICATIONS OF INTELLIGENT SYSTEMS, ISKE 2013 | 2014年 / 279卷

关键词：

Outlier; Financial data; Artificial neural network; RBF algorithm; Stock prediction;

D O I：

10.1007/978-3-642-54927-4_92

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The stock market is an investment market that is full of risk and return, to obtain higher benefits while reducing the risk of investors is the pursuit of the goal, the radial basis function network with its simple structure, excellent global approximation properties to arouse the wide attention of scholars. This paper is based on RBF neural network, through the examples of the empirical analysis; the results show that, the network has good learning and generalization ability, and achieved good results in the stock market trend prediction.

引用

页码：955 / 962

页数：8

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