Predicting stock index movement using twin support vector machine as an integral part of enterprise system-Reference-Cited by-同舟云学术

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Predicting stock index movement using twin support vector machine as an integral part of enterprise system

Published:2022-05 Issue:3 Volume:39 Page:428-439
ISSN:1092-7026
Container-title:Systems Research and Behavioral Science
language:en
Short-container-title:Syst Res Behav Sci

Author:

Zou Borong¹,Wang Hong²^ORCID,Li Hui¹,Li Ling³,Zhao Yuhan¹

Affiliation:

1. School of Physics and Electronic Information Engineering Henan Polytechnic University Jiaozuo China

2. College of Business and Economics, Department of Management North Carolina A&T State University Greensboro North Carolina USA

3. Department of Information Technology and Decision Science Old Dominion University Norfolk Virginia USA

Publisher

Wiley

Subject

Information Systems and Management,Strategy and Management,General Social Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sres.2862

Reference44 articles.

1. A novel Hybrid RBF Neural Networks model as a forecaster

2. Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index

3. Explore success factors that impact artificial intelligence adoption on telecom industry in China

4. Sustainable growth research – A study on the telecom operators in China

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Random Forest Stock Prediction Model Based on Bayesian Optimization;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

2. Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression;Applied Soft Computing;2023-09

3. Systems research on artificial intelligence;Systems Research and Behavioral Science;2022-05

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