摘要
简述支持向量的回归分析,支持向量机自回归预测模型结构及预测方法,利用开都河大山口水文站52 a的径流资料,采用最小二乘支持向量机方法对径流进行模拟预测,并与BP神经网络方法进行对比分析,其计算结果相对略好。
The paper introduced the support vector regression analysis,expounded on support vector machine auto-regression model structure and prediction methods.The runoff data of 52 years were taken for runoff prediction by using least square and Support Vector Machine method(LS-SVM).A contrast analysis was made with the BP neural network method,which showed that the computed result was relatively better than the BP neural network method.
出处
《地下水》
2012年第5期90-91,共2页
Ground water
