scholarly journals Performance Evaluation of Support Vector Regression Models for Survival Analysis: A Simulation Study

2016 ◽  
Vol 7 (6) ◽  
Author(s):  
Shahrbanoo Goli ◽  
Hossein Mahjub ◽  
Javad Faradmal ◽  
Ali-Reza Soltanian
Keyword(s):  
Performance Evaluation ◽  
Survival Analysis ◽  
Support Vector Regression ◽  
Simulation Study ◽  
Regression Models ◽  
Support Vector

scholarly journals New Strategy for Analog Circuit Performance Evaluation under Disturbance and Fault Value

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Aihua Zhang ◽  
Yongchao Wang ◽  
Chen Chen ◽  
Hamid Reza Karimi
Keyword(s):  
Performance Evaluation ◽  
Support Vector Regression ◽  
Analog Circuit ◽  
Support Vector ◽  
Training Set ◽  
Circuit Performance ◽  
New Strategy ◽  
Indirect Evaluation ◽  
Novel Strategy ◽  
Fuzzy Learning

Focus on this issue of disturbance and fault value is inevitable in data collection about analog circuit. A novel strategy is developed for analog circuit online performance evaluation based on fuzzy learning and double weighted support vector machine (DWMK-FSVM). First, the double weighted support vector regression machine is employed to be the indirect evaluation means, relied on the college analog electronic technology experiment to evaluate analog circuit. Second, the superiority of fuzzy learning also is addressed to realize active suppression to the fault values and disturbance parameters. Moreover, the multikernel RBF is employed by support vector regression machine to realize more flexibility online such as the bandwidths tuning. Numerical results, supported by the college analog circuit experiments, adopted OTL performance eight indexes, which were obtained via precision instrument evaluation in two years to construct training set and are then to be evaluated online based on DWMK-FSVM. Simulation results presented not only highlight precision of the evaluation strategy derived here but also illustrate its great robustness.

Improving the spatial prediction of soil salinity in arid regions using wavelet transformation and support vector regression models

Geoderma ◽  
2021 ◽  
Vol 383 ◽  
pp. 114793
Author(s):  
Ruhollah Taghizadeh-Mehrjardi ◽  
Karsten Schmidt ◽  
Norair Toomanian ◽  
Brandon Heung ◽  
Thorsten Behrens ◽  
...  
Keyword(s):  
Support Vector Regression ◽  
Soil Salinity ◽  
Regression Models ◽  
Wavelet Transformation ◽  
Arid Regions ◽  
Spatial Prediction ◽  
Support Vector

A class of new Support Vector Regression models

2020 ◽  
Vol 94 ◽  
pp. 106446
Author(s):  
Pritam Anand ◽  
Reshma Rastogi ◽  
Suresh Chandra
Keyword(s):  
Support Vector Regression ◽  
Regression Models ◽  
Support Vector
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