基于FN—SPA模型的降雨径流预测  

Rainfall Runoff Forecasting based on FN-SPA Model

作　　者：黄建国[1] 王东明 HUANG Jianguo;WANG Dongming(Department of Basic Education,Anhui Water Conservancy Technical College,Hefei 231603,China;Faculty of Finance and Mathematics,West Anhui University,Lu'an 237012,China)

机构地区：[1]安徽水利水电职业技术学院基础部,安徽合肥231603 [2]皖西学院金融与数学学院,安徽六安237012

出　　处：《皖西学院学报》2020年第5期38-41,共4页Journal of West Anhui University

基　　金：安徽高校自然科学重点研究项目(KJ2015A377)的研究成果。

摘　　要：为了提高降雨径流的预测精度,提出一种基于泛函网络与集对分析(FN—SPA)的预测模型。该模型采用集对分析对网络训练样本进行优化,然后使用泛函网络进行预测。计算机仿真结果表明,与神经网络模型相比较,该模型的预测精度更高。In order to improve the forecast accuracy of rainfall runoff, a prediction model is presented based on set pair analysis and functional network(FN-SPA). The model uses set pair analysis to optimize the network training sample and then uses functional network to predict rainfall runoff. The simulation results demonstrate that the predicted date by the FN-SPA model is more accurate than neural network model.

关 键 词：泛函网络 集对分析 降雨径流 

分 类 号：O177.92[理学—数学]