Goodnews Bay Platinum Resource Estimation Using Least Squares Support Vector Regression with Selection of Input Space Dimension and Hyperparameters

2011 ◽  
Vol 20 (2) ◽  
pp. 117-129 ◽  
Author(s):  
Snehamoy Chatterjee ◽  
Sukumar Bandopadhyay
Keyword(s):  
Least Squares ◽  
Support Vector Regression ◽  
Space Dimension ◽  
Support Vector ◽  
Resource Estimation ◽  
Input Space ◽  
Selection Of

Aero-Engine Adaptive Model Using Recursive Reduced Least Squares Support Vector Regression

2011 ◽  
Vol 65 ◽  
pp. 218-223
Author(s):  
Ling Ping Jiang
Keyword(s):  
Feature Selection ◽  
Least Squares ◽  
Support Vector Regression ◽  
Support Vector ◽  
Adaptive Model ◽  
Selection Algorithm ◽  
Feature Selection Algorithm ◽  
Sparse Model ◽  
Aero Engine ◽  
Selection Of

In consideration of the problem in traditional aero-engine adaptive model, a new algorithm was proposed based on Recursive Reduced Least Squares Support Vector Regression (RRLSSVR). Feature Selection of model input and flight envelope divided was needed before the model established, then adaptive model was developed in every small envelope. Finally, an adaptive model was applied to validate the effectiveness and feasibility of the proposed feature selection algorithm and sparse model using RRLSSVR.

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