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In this paper, an evolutionary hybrid approach is studied for fault diagnosis and it is applied to classify the loopers faults in hot rolling process. The algorithm called evolutionary KPCA-LSSVM is the combination of genetic algorithm (GA), kernel principal component analysis (KPCA) and Least Squares Support Vector Machine (LSSVM), which can obtain better fault recognition rate. Firstly, kernel function...
In this paper, we discuss subspace based least squares support vector machines (SSLS-SVMs), in which an input vector is classified into the class with the maximum similarity. Namely, we define the similarity measure for each class by the weighted sum of vectors called dictionaries and optimize the weights so that the margin between classes is optimized. Because the similarity measure is defined for...
The study on the least squares support vector machine (LS-SVM) algorithm is currently a dasiahotpsila area of support vector machine (SVM) study. Following Chua's work and the algorithm analysis thought already used in system identification area, we make a further study to the basic LS-SVM, and make the algorithm more convenient to analyze the estimated parameters, as well as extend his thought to...
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