Document Type
Article
Publication Date
2013
City
Dayton
Abstract
In order to obtain the excellent evaluation effects, the wavelet kernel function is used as the kernel function of support vector machine,and the model is defined as wavelet kernel-based support vector machine.Thus, wavelet kernel-based support vector machine is applied to aviation safety evaluation. The two dimensional input vector of the training samples is employed to construct the training samples.The traditional radial basis function kernel-based support vector machine is used to compare with the wavelet kernel-based support vector machine.The testing results show that the evaluation error of the wavelet kernel-based support vector machine belongs to the range from 0.015 to 0.04,and the evaluation error of the traditional radial basis function kernel-based support vector machine belongs to the range from 0.02 to 0.07.Then,we can conclude that aviation accidents evaluation accuracy of wavelet kernel-based support vector machine is higher than those of traditional radial basis function kernel-based support vector machine.
Repository Citation
Ming, C.,
& Xuqun, Y.
(2013). Aviation Safety Evaluation by Wavelet Kernel-Based Support Vector Machine. 17th International Symposium on Aviation Psychology, 560-566.
https://corescholar.libraries.wright.edu/isap_2013/21