Classification algorithm of regression support vector machine and its application to make a mixed refrigerant in ground source heat pump system
Yan Manfu 1, Wang Jiuhai 2
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 239-244
1 Department of Mathematics and Informatics, Tangshan Normal University, Construction of North Road NO.156, Tangshan, China
2 Department of Physics, Tangshan Normal University, Construction of North Road NO.156, Tangshan, China
To solve the problem of the refrigerant performance in a ground source heat pump system, the paper improved the existing proximal support vector machines [1], constructed a classification algorithm model of regression Support Vector Machine (SVM), and further applied it to a new classification method of making a mixed refrigerant for the system on the basis of analyzing the refrigerant performance of ground source heat pump systems.