Remote patient tracking has recently gained increased attention, due to its lower cost and non-invasive nature. In this paper, the performance of Support Vector Machines (SVM), Least Square Support Vector Machines (LS-SVM), Multilayer Perceptron Neural Network (MLPNN), and General Regression Neural Network (GRNN) regression methods is studied in application to remote tracking of Parkinson’s dis...

Abstract Rolling bearing is an indispensable part of the contemporary industrial system, and its working conditions affect state entire system. Therefore, there great engineering value to researching improving fault diagnosis technology rolling bearings. However, with involvement whole mechanical equipment, we need have a large quantity data support accuracy diagnosis, while efficiency classica...

In this paper, least squares support vector machine (LS-SVM) based motion control of a mobile robot in dynamic environment is proposed under the measured data with uncertainties. The proposed scheme can control the robot by consideration of local minima, where the controller is based on Lyapunov function candidate and considers virtual forces information. Comparing with standard support vector ...