Prediction Model of Underground River Daily Discharge
Liu Li-hong · Water Resources and Power · 2008
This paper introduced threshold auto-regressive model and combined prediction model of wavelet and BP neural network,and the outlet discharge of Houzhai River basin was predicted with these two models.The threshold auto-regressive model included three auto-regressive models with orders of 5,4,and 1 respectively.The daily discharge series were decomposed by db3 wavelet used as the input of BP neural network model,and the combined prediction model of wavelet and BP neural network was established.This paper compared absolute error and relative error of these two models,and the combined prediction model of wavelet and BP neural network was better.At last,according to the shortcomings of the two models,some improvement suggestions are proposed.