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《Journal of Daqing Petroleum Institute》 2005-03
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Supportive vector machine and its application in oil fields

LI Zhuo~1, LIU Bin~2, LIU Tie-nan~2, ZHU Xiu-hua~3, WEI Kun~4 ( 1. Geoscience College, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China; 2. Electric and Information Engineering College, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China; 3. Adult Education School, Daqing Petroleum Institute, Daqing, Heilongjiang 163318, China; 4. Physics and Mathematics School, Harbin Engineering University, Harbin, Heilongjiang 150001, China )  
This paper introduces the theoretical research process of SVM, the basic principles, and the main algorithms, and it is compared with the neural network. The application of the SVM in oil fields is described The result illustrates that SVM has unique excellence that Neural Network does not possess. SVM offers a new way to solve the non-linear problem, and it is delieved to be the substitute for the Neural Network.
【CateGory Index】: TP181
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