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Leakage Diagnosis of Water Supply Network Based on ACO-SVM

机译:基于ACO-SVM的供水网络泄漏诊断

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Leakage diagnosis model of water supply network was established by SVM. ACO is used to search and optimize the penalty coefficient c of SVM and the important parameter error E of kernel function in order to improve the speed and accuracy of SVM. The water leakage characteristic data of the water supply network with single leakage point was measured by simulation test. The sample data was verified based on ACO- SVM model, which can effectively locate the leakage point and accurately predict the leakage rate.
机译:SVM建立了供水网络泄漏诊断模型。 ACO用于搜索和优化SVM的惩罚系数C和内核功能的重要参数误差e,以提高SVM的速度和精度。通过仿真试验测量了具有单泄漏点的供水网络的漏水特性数据。基于ACO-SVM模型验证了样本数据,可以有效地定位泄漏点并准确地预测泄漏率。

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