MART : A Multichannel ART-Based Neural Network  

Oleh:

Fernandez-Delgado, M. ; Ameniero, S. Barro

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 9 no. 1 (1998), page 139-150.
Topik: neural network; MART; multichannel; ART - based; neural network

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

This paper describes MART, an ART - based neural network for adaptive classification of multichannel signal patterns without prior supervised learning. Like other ART - based classifiers, MART is especially suitable for situations in which not even the number of pattern categories to be distinguished is known a priori ; its novelty lies in its truly multichannel orientation, especially its ability to quantify and take into account during pattern classification the different changing reliability of the individual signal channels. The extent to which this ability can reduce the creation of spurious or duplicate categories (a major problem for ART - based classifiers of noisy signals) is illustrated by evaluation of its performance in classifying QRS complexes in two - channel ECG traces which were taken from the MIT - BIH database and contaminated with noise.

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