Codeword Distribution for Frequency Sensitive Competitive Learning With One-Dimensional Input Data  

Oleh:

Galanopoulos, A. S. ; Ahalt, S.C.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 3 (1996), page 752-756.
Topik: frequency; codeword distribution; frequency sensitive; learnign; one - dimensional; input data

Ketersediaan

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

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Isi artikel

We study the codeword distribution for a conscience - type competitive learning algorithm, frequency sensitive competitive learning (FSCL), using one - dimensional input data. We prove that the asymptotic codeword density in the limit of large number of codewords is given by a power law of the form Q (x) = C · P (x) a, where P (x) is the input data density and a depends on the algorithm and the form of the distortion measure to be minimized. We further show that the algorithm can be adjusted to minimize any Lp distortion measure with p ranging in (0,2].

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