STUDY ON MIXED MODEL OF NEURAL NETWORK FOR FARMLAND FLOOD/DROUGHT PREDICTION

被引：11

作者：

金龙

罗莹

郭光

林振山

机构：

[1] Nanjing 210009

[2] Department of Atmospheric Sciences

[3] Jiangsu Meteorological Institute Nanjing 210008

[4] Nanjing Institute of Meteorology

[5] Jiangsu Institute of Climate Application

[6] Nanjing University

[7] Nanjing 210044

[8] Nanjing 210093

来源：

ActaMeteorologicaSinica | 1997年 / 03期

关键词：

flood/drought prediction; mixed model; nonlinear mapping; soil humidity; neural network;

D O I：

暂无

中图分类号：

P457 [主要气象要素和天气现象预报];

学科分类号：

0706 ; 070601 ;

摘要：

The paper concerns a flood/drought prediction model involving the continuation of time seriesof a predictand and the physical factors influencing the change of predictand.Attempt is made toconstruct the model by the neural network scheme for the nonlinear mapping relation based onmulti-input and single output.The model is found of steadily higher predictive accuracy by testingthe output from one and multiple stepwise predictions against observations and comparing theresults to those from a traditional statistical model.

引用

页码：364 / 373

页数：10