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Unsupervised process monitoring and fault diagnosis with machine learning methods

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Unsupervised process monitoring and fault diagnosis with machine learning methods/ by Chris Aldrich, Lidia Auret.
Author:	Aldrich, Chris.
other author:	Auret, Lidia.
Published:	London :Springer London : : 2013.,
Description:	xix, 374 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Machine learning. -
Online resource:	http://dx.doi.org/10.1007/978-1-4471-5185-2
ISBN:	9781447151852 (electronic bk.)

Unsupervised process monitoring and fault diagnosis with machine learning methods
Aldrich, Chris.

Unsupervised process monitoring and fault diagnosis with machine learning methods[electronic resource] /by Chris Aldrich, Lidia Auret. - London :Springer London :2013. - xix, 374 p. :ill., digital ;24 cm. - Advances in computer vision and pattern recognition,2191-6586. - Advances in computer vision and pattern recognition..

ISBN: 9781447151852 (electronic bk.)Subjects--Topical Terms:

561253
Machine learning.

LC Class. No.: Q325.5 / .A43 2013

Dewey Class. No.: 006.3

Unsupervised process monitoring and fault diagnosis with machine learning methods
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245 1 0 $a Unsupervised process monitoring and fault diagnosis with machine learning methods $h [electronic resource] / $c by Chris Aldrich, Lidia Auret.
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650 2 4 $a Artificial Intelligence (incl. Robotics) $3 593924
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