摘要
为了进一步提高节制闸过闸流量的计算精度,提出了一种基于PSO-SVM模型的过闸流量计算方法。分析了PSO-SVM模型的计算原理和方法,并用某节制闸一年的水文实测数据对PSO-SVM模型进行了训练与计算,结果表明:PSO-SVM模型用于节制闸过闸流量计算,具有较高的计算精度。但在实测样本较少时或流量较大的区间内,模型表现欠佳。
In order to improve the calculation accuracy of check-sluice discharge,a calculation method of discharge based on PSO-SVM model is proposed.The calculation principle and method of PSO-SVM model are analyzed.The hydrologic data of a check-sluice for one year are used to train and calculate the PSO-SVM model.The results showed that the PSO-SVM model could be used to calculate the check-sluice discharge and had high calculation accuracy.However,when the measured samples are not enough and the discharge is large,the performance of the model is poor.
作者
蒋莉
梁金昶
刘宪亮
许新勇
JIANG Li;LIANG Jinchang;LIU Xianliang;XU Xinyong(North China University of Water Resources and Electric Power,Zhengzhou 450046,Henan,China;China South-to-North Water Diversion Middle Route Corporation Limited,Beijing 100038,China)
出处
《黄河水利职业技术学院学报》
2023年第1期6-10,共5页
Journal of Yellow River Conservancy Technical Institute
基金
国家自然科学基金项目:基于界面数据交换的混凝土塔筒振动损伤机理研究及模型试验(51979109)。
关键词
引调水工程
节制闸
过闸流量
PSO-SVM模型
支持向量机
粒子群优化算法
Water-diversion project
check-sluice
discharge
PSO-SVM model
SVM(Support Vector Machine)
particle swarm optimization algorithm
