New Approach for Concentration Prediction of Aqueous Phenolic Contaminants by Using Wavelet Analysis and Support Vector Machine

2020 ◽  
Vol 37 (5) ◽  
pp. 382-392
Author(s):  
Jingwei Feng ◽  
Lijun Pan ◽  
Binhua Cui ◽  
Yabing Sun ◽  
Aiyong Zhang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Wavelet Analysis ◽  
Support Vector ◽  
New Approach ◽  
Concentration Prediction

Precipitation Forecast Based on WA-SVM Theory

2012 ◽  
Vol 518-523 ◽  
pp. 4039-4042
Author(s):  
Zhen Min Zhou
Keyword(s):  
Time Series ◽  
Support Vector Machine ◽  
Wavelet Analysis ◽  
Precipitation Forecast ◽  
Support Vector ◽  
Estimation Model ◽  
Original Time Series ◽  
Set Up ◽  
Original Time

In order to improve the precision of medium-long term rainfall forecast, the rainfall estimation model was set up based on wavelet analysis and support vector machine (WA-SVM). It decomposed the original rainfall series to different layers through wavelet analysis, forecasted each layer by means of SVM, and finally obtained the forecast results of the original time series by composition. The model was used to estimate the monthly rainfall sequence in the watershed. Comparing with other method which only uses support vector machine(SVM), it indicates that the estimated accuracy was improved obviously.

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