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This paper presents the support vector machine (SVM) for classification of the quality grade of knitted yarns. The SVM, Kernel Fisher Discriminant Analysis (KFDA), back promulgation neural network (BPNN), and radial basis function neural network (RBFNN) are comparatively investigated in 94 classified knitted yarns from different mills in four-dimensional space, four methods are employed on IRIS and...
In this paper, the method that measuring dataset of knitted yarns is clustered using improving fuzzy kernel c-Means (FKCM) clustering algorithm is proposed. In FKCM clustering algorithm, the data of low dimension input space is mapped to high dimension feature space, FCM clustering algorithm is performed in feature space, then the constraint optimization distance matrix and membership matrix of testing...
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