Research on method of automatic recognition of water sources based on Support vector machine
LI Ji-jun
XUE Yang
YU Gui-xi
YU Gui-lian
YU Sheng-chen
Abstract：In order to improve the recognition correct rate of flood water, According to the classification of wa-ter source in some small sample, a new method for identification flood water is put forward in the paper, in which method, water sources are recognized by support vector machine (SVM). Because the coal mines of Luan Group are formatted in the same coal forming period, the coal mines have similar characteristics. SVM training set samples are taken from the coal mine of Luan Group. After training SVM, The coal mine water sources of High River Energy Co. Ltd are classified and recognized. Experiment and production practice show that the method is effective.
Keywords：headstream recognitionSupport vector machine (SVM)mine water - bursting
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 25-29 )