Prediction of Aircraft Aluminum Alloys Tensile Mechanical Properties Degradation Using Support Vector Machines

2010 ◽  
pp. 9-18 ◽  
Author(s):  
Nikolaos Ampazis ◽  
Nikolaos D. Alexopoulos
Keyword(s):  
Mechanical Properties ◽  
Support Vector Machines ◽  
Aluminum Alloys ◽  
Support Vector ◽  
Vector Machines

Study on Mechanical Properties of Corroded Reinforced Concrete Using Support Vector Machines

2014 ◽  
Vol 578-579 ◽  
pp. 1556-1561 ◽  
Author(s):  
Shuai Yang ◽  
Cong Qi Fang ◽  
Zhi Jie Yuan
Keyword(s):  
Mechanical Properties ◽  
Reinforced Concrete ◽  
Support Vector Machines ◽  
Crack Width ◽  
Black Box ◽  
Reduction Factor ◽  
Support Vector ◽  
Regression Formula ◽  
Vector Machines ◽  
Maximum Crack

The mechanical properties of corroded reinforced concrete under repeated load are investigated. The maximum crack width, mid-span deflection and reduction factor are predicted by using support vector machines. The maximum crack width and deflection are predicted by the black-box modeling based on support vector machines with the radial basis function kernel function. The reduction factor is predicted by using piecewise regression formula, whole regression formula and black-box modeling, respectively. The proposed prediction method is verified by comparing all prediction results with the experimental values. It is shown that the proposed method has high prediction accuracy, extensive applicable range and many predictive strategies.

Soft Biometrics Classification Using Denoising Convolutional Autoencoders and Support Vector Machines

2018 ◽  
Author(s):  
Nelson Marcelo Romero Aquino ◽  
Matheus Gutoski ◽  
Leandro Takeshi Hattori ◽  
Heitor Silvério Lopes
Keyword(s):  
Support Vector Machines ◽  
Support Vector ◽  
Soft Biometrics ◽  
Vector Machines
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