Soft-sensor method based on least square support vector machines within Bayesian evidence framework

Abstract

Based on the character and requirement of the dynamic weighing of loader, the soft sensor technique was adapted as the weighing method, and the least square support vector machine (LS-SVM) as its modelling method. Also the Bayesian evidence framework was used in LS-SVM for selecting and tuning its parameter. And then, after the nonlinear regression algorithms of LS-SVM and the principle of Bayesian evidence framework were introduced, the soft sensor model based on LS-SVM was given. In the end, emulation analysis results indicate that softsensor method based on LS-SVM within Bayesian evidence framework is a valid means for solving dynamic weighing of loader. © Springer-Verlag Berlin Heidelberg 2007.