Reliability modelling & prediction using neural networks
UNSPECIFIED (2003) Reliability modelling & prediction using neural networks. In: 8th ISSAT Conference on Reliability and Quality in Design, AUG 07-09, 2002, Anaheim, CA.Full text not available from this repository.
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)|
|Journal or Publication Title:||EIGHTH ISSAT INTERNATIONAL CONFERENCE ON RELIABILITY AND QUALITY IN DESIGN, PROCEEDINGS|
|Publisher:||INT SOC SCI APPL TECHNOL|
|Editor:||Pham, H and Lu, MW|
|Number of Pages:||5|
|Page Range:||pp. 40-44|
|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|
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