Research on runoff prediction based on wavelet transform and least squares support vector machines model

2014 ◽  
Author(s):  
Fanping Zhang ◽  
Deshan Tang ◽  
Meihong Zhang ◽  
Huichao Dai
Keyword(s):  
Wavelet Transform ◽  
Support Vector Machines ◽  
Least Squares ◽  
Support Vector ◽  
Vector Machines ◽  
Runoff Prediction

Annual Runoff Prediction Based on Least Square Support Vector Machines-Markov Chain Combined Model

2011 ◽  
Vol 418-420 ◽  
pp. 2114-2117
Author(s):  
Xiu Ping Zhou ◽  
Cong Zhu ◽  
Tian Xiang Li
Keyword(s):  
Markov Chain ◽  
Support Vector Machines ◽  
Least Squares ◽  
Annual Runoff ◽  
Least Square ◽  
Support Vector ◽  
Prediction Errors ◽  
Combined Model ◽  
Vector Machines ◽  
Runoff Prediction

A new annual runoff prediction model was proposed by combining the least squares support vector machines and markov chains named LSSVM-MC. Firstly, adopt the least squares support vector machines to predict annual runoff as the first step prediction. Then regarding the series of prediction errors as a process of Markov chain, adopt Markov chain method to predict the potential error as the second step prediction. At last, subtract the two-step prediction results to get the final prediction value. The case study shows that the combined model effectively improves the annual runoff prediction accuracy.

Sign in / Sign up

Export Citation Format

Share Document