A Security Analysis Model Based on Artificial Neural Network

Liu, Rongqi; Zhong, Shifen

doi:10.1007/978-3-642-33469-6_16

Rongqi Liu²⁰ &
Shifen Zhong²⁰

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7529))

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International Conference on Web Information Systems and Mining

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Abstract

Current problems in investment market are discussed and the classic artificial neural network is introduced. Then, it mainly introduces a security analysis model based on the artificial neural network, including how to choose neurons, calculate weights and make decision etc. Finally, a decision-making system based on the model is introduced. Some possible problems about the system and strategies on how to invest are also discussed.

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References

http://finance.ifeng.com/people/detail/comchief/linyuan.shtml
Graham, B., Dodd, D.L.: Security Analysis. McGraw-Hill Companies
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http://wenku.baidu.com/view/6b53ba0d6c85ec3a87c2c567.html

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Authors and Affiliations

School of Mathematics and Computer Engineering, XiHua University, 610039, Chengdu, Sichuan Province, China
Rongqi Liu & Shifen Zhong

Authors

Rongqi Liu
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Shifen Zhong
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Editors and Affiliations

Deaprtment of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China
Fu Lee Wang
School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China
Jingsheng Lei
Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, China
Zhiguo Gong
School of Computer, Shanghai University, 200444, Shanghai, China
Xiangfeng Luo

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Liu, R., Zhong, S. (2012). A Security Analysis Model Based on Artificial Neural Network. In: Wang, F.L., Lei, J., Gong, Z., Luo, X. (eds) Web Information Systems and Mining. WISM 2012. Lecture Notes in Computer Science, vol 7529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33469-6_16

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DOI: https://doi.org/10.1007/978-3-642-33469-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33468-9
Online ISBN: 978-3-642-33469-6
eBook Packages: Computer ScienceComputer Science (R0)

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