UNSPECIFIED (2003) Reliability modelling & prediction using neural networks. In: 8th ISSAT Conference on Reliability and Quality in Design, AUG 07-09, 2002, Anaheim, CA.

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Abstract

Neural networks are ideal tools for prediction and other analysis and have been proven to be a good tool for data analysing and prediction in a number of fields. In this paper, neural network models were built for the prediction of the reliability of complex systems. The networks performed quite well predicting the reliability of the systems however the research highlighted that neural networks need to be trained with rich and meaningful data in order to achieve accurate performance at reliability prediction.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	T Technology
Journal or Publication Title:	EIGHTH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS
Publisher:	INT SOC SCI APPL TECHNOL
ISBN:	*************
Editor:	Pham, H and Lu, MW
Date:	2003
Number of Pages:	5
Page Range:	pp. 40-44
Publication Status:	Published
Title of Event:	8th ISSAT Conference on Reliability and Quality in Design
Location of Event:	Anaheim, CA
Date(s) of Event:	AUG 07-09, 2002
URI:	http://wrap.warwick.ac.uk/id/eprint/7678

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