Improvement of Transductive Support Vector Machine and its Application to Enhance Antifreeze Heat Transfer Capability in Ground Source Heat Pump System

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To solve the problem of enhancing the heat transfer capability of antifreeze mixture in a ground source heat pump system, the existing Transductive Support Vector Machine (TSVM) model was updated into an improved TSVM model. Also, a new method of mixed antifreeze heat transfer capability classification was given in the paper by analyzing antifreeze [1] heat transfer capability of the ground source heat pump system and applying the improved TSVM model.

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4349-4355

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October 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Yunxia Qu: Fluid Mechanics, 2002, 30(10), 47-50. In Chinese.

Google Scholar

[2] Yunxia Qu, Linhua Zhang, Zhaohong Fang, Anjia Li: Energy-Saving and Environmental Protection, 2002, 8: 20-23. In Chinese.

Google Scholar

[3] Kavanaugh S, ASHRAE Fransactions, 1989, 95(1): 1139-1148.

Google Scholar

[4] Cortes C, Vapnik V, Machine Learning, 1995, 20: 273-295.

Google Scholar

[5] Vapnik V, Statistical learning theory, New York: Wiley, (1998).

Google Scholar

[6] Yuquan Hu, Cause of Operation Research. Beijing, Tsinghua University Press, 2003. In Chinese.

Google Scholar

[7] Naiyang Deng, Yingjie Tian, New Method in Data Mining - Support Vector Machine. Beijing: Science Press, 2004. In Chinese.

Google Scholar