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As the development of modern industry, fault diagnosis technology is becoming one of the major issues. A novel fault diagnosis approach is presented for rolling bearing system based on support vector machine (SVM) in this paper. Data acquired for rotatory machinery has a large quantity as well as a high dimensionality, both principal component analysis (PCA) method and linear discriminant analysis...
In the Bayesian face recognition algorithm, the similarity of two images is estimated on one intrapersonal variation subspace which is based on all variation training data. In fact, the intrapersonal variation is complicated and there are many factors which will lead to the variation. Different factor brings different influence to the face image. In the paper, we divide the intrapersonal variation...
This paper is to develop a hybrid PCA-RBFNN model for financial distress prediction of Chinese listed corporate. The proposed hybrid model integrates the principle component analysis (PCA) method and the radial-basis function neural network (RBFNN). Besides the traditional finance indicators, we introduce the cash-flow indicators which perfectly reflect the real-time financial situation of a corporate...
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