基于支持向量机岩溶塌陷的智能预测模型

在综合分析了各种岩溶塌陷预测方法和介绍支持向量机的基础上,提出基于支持向量机的岩溶塌陷预测方法,运用Matlab语言编程,建立了相应的岩溶塌陷预测模型.以已有的岩溶地面塌陷实例为学习样本,进行学习测试,得到训练效果较佳的预测模型,并用此模型对某市岩溶塌陷进行预测.结果表明,支持向量机预测模型具有较高精度,在岩溶塌陷预测研究中具有广阔的应用前景.

Intelligent Model of Karstic Collapse Prediction Based on SVM

Based on comprehensively analyzing different methods for Karstic collapse Prediction and introducing the support vector machine(SVM),the article proposed the method of Karstic ground collapse Prediction with SVM and built prediction model with Matlab language.By using the karstic ground collapses as learning samples,a good Prediction model was obtained by studying and training.Then this model was used in prediction of the karstic ground collapses in one city.The result suggests that the SVM prediction model has high prediction accuracy,and it has wide application prospects in the research of karstic collapse Prediction.