Energy Dissipation Prediction for Stepped Spillway Based on Genetic Algorithm–Support Vector Regression

2018 ◽  
Vol 144 (4) ◽  
pp. 04018003 ◽  
Author(s):  
Lei Jiang ◽  
Mingjun Diao ◽  
Hongcheng Xue ◽  
Haomiao Sun
Keyword(s):  
Genetic Algorithm ◽  
Energy Dissipation ◽  
Support Vector Regression ◽  
Support Vector ◽  
Stepped Spillway

scholarly journals Applying hybrid support vector regression and genetic algorithm to water alternating CO 2 gas EOR

2020 ◽  
Vol 10 (3) ◽  
pp. 613-630 ◽  
Author(s):  
Menad Nait Amar ◽  
Noureddine Zeraibi ◽  
Ashkan Jahanbani Ghahfarokhi
Keyword(s):  
Genetic Algorithm ◽  
Support Vector Regression ◽  
Support Vector

Comprehensive Evaluation of Wind Turbine Type Selection Based on GA-SVR Model

2012 ◽  
Vol 468-471 ◽  
pp. 579-582
Author(s):  
Wei Sun ◽  
Le Shen
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Wind Turbine ◽  
Support Vector Regression ◽  
Empirical Analysis ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
High Accuracy ◽  
Support Vector ◽  
Type Selection

Aiming at the current situation of wind turbine type selection in China, this paper has built a more scientific and systematic index system for comprehensive evaluation of wind turbine type selection, and also applied the Support Vector Regression machine evaluation model with parameters optimized by Genetic Algorithm. Through automatic global optimization for parameters, this model has reached an extremely high accuracy required for evaluation of type selection. Empirical analysis shows that the application of this model has a realistic popularized significance for improving the method of the wind turbine type selection and enhancing its efficiency.

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