A Performance Comparison of Neural Networks in Forecasting Stock Price Trend
Wu, Binghui1,2; Duan, Tingting2
2017-01
发表期刊INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
卷号10期号:1页码:336-346
摘要

The stock price shows the character of complex non-linear system, along with changes of internal and external environmental factors in stock market. As a form of artificial intelligence, neural network can fully reveal the complex relationship between investors and price fluctuations. After comparing network structures of different neural networks, the conclusions show Elman neural network has an obvious advantage over BP neural network in predicting price trend of Chinese stock market both in theory and practice.

关键词Stock market BP neural network Elman neural network CSI 300 Index relative error Performance comparison Forecasting stock prices Environmental factors Complex relationships Neural networks Investments
DOI10.2991/ijcis.2017.10.1.23
收录类别SCI ; SCIE ; SSCI ; EI ; SSCI
ISSN1875-6891
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号WOS:000397302900023
出版者ATLANTIS PRESS
EI入藏号20171803636190
EI主题词Financial markets
原始文献类型Journal article (JA)
EISSN1875-6883
引用统计
被引频次:19[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.lzufe.edu.cn/handle/39EH0E1M/12128
专题金融学院
财务处(项目管理办公室)
作者单位1.Southeast Univ, Sch Econ & Management, Nanjing 211189, Jiangsu, Peoples R China;
2.Lanzhou Univ Finance & Econ, Dept Finance, Lanzhou 730020, Gansu, Peoples R China
第一作者单位兰州财经大学
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Wu, Binghui,Duan, Tingting. A Performance Comparison of Neural Networks in Forecasting Stock Price Trend[J]. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS,2017,10(1):336-346.
APA Wu, Binghui,&Duan, Tingting.(2017).A Performance Comparison of Neural Networks in Forecasting Stock Price Trend.INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS,10(1),336-346.
MLA Wu, Binghui,et al."A Performance Comparison of Neural Networks in Forecasting Stock Price Trend".INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS 10.1(2017):336-346.
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