Groundwater Level Dynamic Prediction Based on Chaos Optimization and Support Vector Machine

2009 ◽  
Author(s):  
Jin Liu ◽  
Jian-xia Chang ◽  
Wen-ge Zhang
Keyword(s):  
Support Vector Machine ◽  
Groundwater Level ◽  
Support Vector ◽  
Dynamic Prediction ◽  
Chaos Optimization

An integrated wavelet-support vector machine for groundwater level prediction in Visakhapatnam, India

2014 ◽  
Vol 145 ◽  
pp. 324-335 ◽  
Author(s):  
Ch. Suryanarayana ◽  
Ch. Sudheer ◽  
Vazeer Mahammood ◽  
B.K. Panigrahi
Keyword(s):  
Support Vector Machine ◽  
Groundwater Level ◽  
Support Vector ◽  
Groundwater Level Prediction

Study and Application of Slope Displacement Time Series Forecast Based on CO-WLSSVM

2012 ◽  
Vol 594-597 ◽  
pp. 2932-2935
Author(s):  
Fei Xu ◽  
Ke Wang
Keyword(s):  
Support Vector Machine ◽  
Hydroelectric Station ◽  
Least Square ◽  
Support Vector ◽  
Time Series Forecast ◽  
Chaos Optimization ◽  
Wavelet Kernel Function ◽  
Optimized Model ◽  
Optimum Solution ◽  
Slope Displacement

A multi-dimension admissible support vector wavelet kernel function is introduced and the model of wavelet least square support vector machine (WLSSVM) is optimized by chaos optimization (CO), which is named as wavelet least squares support vector machine based on chaos optimization (CO-WLSSVM).The optimized model improves the forecasting precision depending multi-dimension interpolation character and sparse change character of the wavelet and quick convergence to the optimum solution of the chaos optimization. The CO-WLSSVM is applied to forecast the displacement of left side bank of slope in first-stage hydroelectric station of Jinping. The result shows that the model possesses higher precision of forecasting.

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