基于支持向量机的煤矿井水害水源自动识别方法研究

Research on method of automatic recognition of water sources based on Support vector machine

为了提高识别煤矿井水害水源的正确率,针对一些小样本的水害水源分类识别问题,提出利用支持向量机(SVM)分类识别。潞安集团所属煤矿区是同一成煤时期形成的,具有相似的特点,SVM训练集的样品取自潞安集团所属各煤矿,训练好SVM后,对潞安集团所属的高河能源有限公司煤矿井水害水源进行了分类识别。实验和生产实践证明该方法分类识别煤矿井水害水源的效果较好。

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.