Fuzzy Support Vector Machines  

Oleh:

Lin, Chun-Fu ; Wang, Sheng-De

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 2 (2002), page 464-471.
Topik: fuzzy; fuzzy support; vector machines

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.6 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

A support vector machine (SVM) learns the decision surface from two distinct classes of the input points. In many applications, each input point may not be fully assigned to one of these two classes. In this paper, we apply a fuzzy membership to each input point and reformulate the SVM s such that different input points can make different contributions to the learning of decision surface. We call the proposed method fuzzy SVM s (FSVM s).

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