of China based on the combined soft-sensing model of the fuzzy least squares support vector machine is established. The … squares support vector machine, and a soft-sensing model of the key index parameters of the new export competitive advantages … derived. The obtained evaluation values of the main measurement index are used as the input variable of the fuzzy least …

of China based on the combined soft-sensing model of the fuzzy least squares support vector machine is established. The … squares support vector machine, and a soft-sensing model of the key index parameters of the new export competitive advantages … derived. The obtained evaluation values of the main measurement index are used as the input variable of the fuzzy least …

farm located in complex terrain. The performances of Least-Squares Support Vector Machine (LS-SVM) with Wavelet …

electric power systems. The least squares support vector machine (LSSVM) has been proven to offer strong potential in …

Squares Support Vector Machine (LS-SVM) classifiers, also known as kernel Fisher discriminant analysis, are applied within the … linear discriminant analysis and logistic regression. However, the obtained error rates are often high. In this paper, Least …