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Abstract: The development of a neural net system for fault diagnosis in a marine diesel engine is described. Nets were trained to classify combustion quality on the basis of simulated data. Three different types of data were used; Pressure, Temperature and Combined Pressure and Temperature. Subsequent to training, three nets were selected and combined by means of a majority voter to form a system which achieved 100% generalisation to the test set. This performance is attributable to a reliance on... (Update)
Context of citations to this paper: More
.... sets by leaving out disjoint subsets of the training data as in cross validated committees [101, 102] or sampling without replacement [116]. Another general approach, named Stochastic Discrimination [73, 74, 75, 72] is based on randomly sampling from a space of subsets of...
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BibTeX entry: (Update)
A J C Sharkey, N E Sharkey and G O Chandroth, `Diverse neural net solutions to a fault diagnosis problem', Neural Computing & Applications, Vol 4, pp 218-227 (1996). http://citeseer.ist.psu.edu/sharkey96diverse.html More
@incollection{ sharkey95diverse,
author = "A. J. C. Sharkey and N. E. Sharkey and G. O. Chandroth",
title = "Diverse Neural Net solutions to a Fault Diagnosis Problem",
booktitle = "Neural Computing and Applications",
year = "1995",
url = "citeseer.ist.psu.edu/sharkey96diverse.html" }
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