A comparative study of maintenance data classification based on neural networks, logistic regression and support vector machines

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Article

A comparative study of maintenance data classification based on neural networks, logistic regression and support vector machines

Jawad Raza - Nama Orang; Jayantha P. Liyanage - Nama Orang; Hassan Al Atat - Nama Orang; Jay Lee - Nama Orang;

The purpose of this paper is to compare the effectiveness of different analytical approaches, namely artificial neural networks, logistic regression and support vector machines to assess the health of a strainer located at the suction side of the pump.

Ketersediaan

IPC Corporate University Library ATC LO RAZ a C.1

ATC1601193

Tersedia

Informasi Detail

Judul Seri: Journal of Quality in Maintenance Engineering
No. Panggil: ATC LO RAZ a
Penerbit: USA : Emerald., 2010
Deskripsi Fisik: 18 p.
Bahasa: English
ISBN/ISSN: -
Klasifikasi: LO
Tipe Isi: -
Tipe Media: -
Tipe Pembawa: online resource
Edisi: Vol. 16 No. 3, 2010
Subjek: Maintenance
Neural nets
Oil industry
Info Detail Spesifik: -
Pernyataan Tanggungjawab: Jay Lee

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