Because of the SVM forecast model has high intelligence,less human participation,with the observation data increasing the model will modify the parameters automatically,so that to approach the real case,it is easier for operation and easier to use for the department of engineering management,so the discharge model of Pingshang karst spring is established by SVM theory. According to effective factors on spring discharge in time oder,the optimum time oder length and the optimum kernel function are decided. And the process of forecast is decided. The base for diversion works management digitizing,forecast of quantity of water feed and optimization of desposition scheme of water resources in this area is established by this research results.
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The fractal interpolating fitting curves are well consonant with the observation data.
曲线 与实测岩移数据吻合较好。
By a comparison with the observation data of the ground surface and actual situation, the proposed approach has been verified.
通过将预测结果与地表观测数据及实际情况的对比分析，验证了此预测方法的适用性。
The seepage predicted by this method based on the monitoring data for the dam in Geheyan Project is in good agreement with the observation data.
本模型应用于隔河岩水电站的坝基渗流量的预测，计算结果与实际监测值吻合良好。
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