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Progress in Natural Science Volume 13, 2003 - Issue 9
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Research papers

An improved method of support vector machine and its applications to financial time series forecasting

Yanchun Liang College of Computer Science and Technology, Jilin University, Changchun, 130012, ChinaCorrespondence[email protected]
&
Yanfeng Sun College of Mathematics, Jilin University, Changchun, 130012, China
Pages 696-700 | Received 30 Jan 2003, Published online: 19 Nov 2006

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Yanfeng Sun, Yanchun Liang, Chunguo Wu, Xiaowei Yang, Heow Pueh Lee & Wu Zhong Lin. (2004) Estimate of error bounds in the improved support vector regression. Progress in Natural Science 14:4, pages 362-364.
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Articles from other publishers (9)

Xiwen Qin, Siqi Zhang, Xiaogang Dong, Yichang Zhan, Rui Wang & Dingxin Xu. (2022) China’s carbon dioxide emission forecast based on improved marine predator algorithm and multi-kernel support vector regression. Environmental Science and Pollution Research 30:3, pages 5730-5748.
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Liai Wang, Xudong Zhou, Xinkai Zhu & Wenshan Guo. (2017) Estimation of leaf nitrogen concentration in wheat using the MK-SVR algorithm and satellite remote sensing data. Computers and Electronics in Agriculture 140, pages 327-337.
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Kushal Virupakshappa & Erdal Oruklu. (2015) Ultrasonic flaw detection using Support Vector Machine classification. Ultrasonic flaw detection using Support Vector Machine classification.
Zhe-Ming YUAN & Xian-Sheng TAN. (2010) Nonlinear Screening Indexes of Drought Resistance at Rice Seedling Stage Based on Support Vector Machine. ACTA AGRONOMICA SINICA 36:7, pages 1176-1182.
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Zhe-Ming YUAN & Xian-Sheng TAN. (2010) Nonlinear Screening Indicators of Drought Resistance at Seedling Stage of Rice Based on Support Vector Machine. Acta Agronomica Sinica 36:7, pages 1176-1182.
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Nicholas Sapankevych & Ravi Sankar. (2009) Time Series Prediction Using Support Vector Machines: A Survey. IEEE Computational Intelligence Magazine 4:2, pages 24-38.
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Zhi-xiang Zhou & Feng-qing Han. (2009) An iterative modified kernel based on training data. Applied Mathematics and Mechanics 30:1, pages 121-128.
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Fengqing Han, Zhengxia Wang, Ming Lei & Zhixiang Zhou. (2008) An iterative modified kernel for support vector regression. An iterative modified kernel for support vector regression.
Bing Xu & Shi-Yi Xie. (2008) Research of dynamic rule engine in financial management software. Research of dynamic rule engine in financial management software.

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