东北水利水电2024，Vol.42Issue(6)：26-27,41,3.
IGOA-RBF模型在石门水库水质预测中的应用
Application of IGOA-RBF model in water quality prediction of Shimen Reservoir
孙晓蕾1
作者信息
- 1. 辽宁省营口水文局,辽宁营口 115003
- 折叠
摘要
Abstract
This paper takes Shimen Reservoir as an example,by improving the Grasshopper Algorithm(IGOA)to increase the generalization of local values,and optimizing the parameters of the RBF neural network model,the IGOA-RBF water quality prediction model with high efficiency and high prediction accuracy is constructed.The results show that the error of IGOA-RBF water quality prediction model is small,which can provide important reference for water quality evaluation and treatment of water environment in water source.关键词
IGOA-RBF/连续流动分析法/总磷/总氮/水质预测模型/石门水库Key words
IGOA-RBF/continuous flow analysis method/total phosphorus/total nitrogen/water quality prediction model/Shimen Reservoir分类
资源环境引用本文复制引用
孙晓蕾..IGOA-RBF模型在石门水库水质预测中的应用[J].东北水利水电,2024,42(6):26-27,41,3.
