Volume 10 - Issue 18
Motion compensation and wavelet kernel methods for teaching quality images optimization
Abstract
Least squares support vector machine can employ equality constraints for the error instead of inequality constraints for the error. This paper is to propose English teaching quality evaluation in higher vocational colleges based on wavelet kernel least squares support vector machine. The testing results indicate that the evaluation values of teaching quality by using wavelet kernel least squares support vector machine are nearer to the actual evaluation values than by using traditional least squares support vector machine or support vector machine. In order to show the teaching quality evaluation ability of wavelet kernel least squares support vector machine, the evaluation errors and mean errors of teaching quality of the three evaluation methods are given. It can be seen that teaching quality evaluation ability of wavelet kernel least squares support vector machine is stronger than traditional least squares support vector machine or support vector machine.
Paper Details
PaperID: 84912569274
Author's Name: Yu, F.
Volume: Volume 10
Issues: Issue 18
Keywords: English teaching evaluation, Higher vocational colleges, Teaching quality, Wavelet kernel
Year: 2014
Month: September
Pages: 7677 - 7683