基于Gamma Test的非线性降雨径流回归模型研究

Gamma Test是一个与模型无关的数据分析方法,可以解决建立回归模型时面对的模型精度评价、划分率定和验证的数据及模型输入因子选择这三个问题.本文以英国的River Tone流域为例,应用Gamma Test方法分析数据,指导建立双层BP神经网络降雨-径流模型.结果表明,Gamma Test可以指导优化输入因子,精简模型结构,防止过拟合.

Analysis of Nonlinear Rainfall-runoff Regression Modeling Based on Gamma Test

Nonlinear regression model is widely used in rainfall-runoff modeling.However,estimating the model accuracy,partition data for calibration and validation,and feature selection are three main handicaps when constructing the model.Gamma test is a model-independent data analysis method.It can be used to help constructing model and solve over-fitting problem during model training period.This paper firstly introduced the Gamma Test,and gave the general formula of rain-runoff regression model.Then a case study wa...