Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur
Li, Y, Pont, MJ and Jones, NB 2002, 'Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur' , Pattern Recognition Letters, 23 (5) , pp. 569-577.
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This paper presents a novel technique which may be used to determine an appropriate threshold for interpreting the outputs of a trained radial basis function (RBF) classiﬁer. Results from two experiments demonstrate that this method can be used to improve the performance of RBF classiﬁers in practical applications.
|Schools:||Schools > School of Computing, Science and Engineering|
|Journal or Publication Title:||Pattern Recognition Letters|
|Funders:||Non funded research|
|Depositing User:||Yuhua Li|
|Date Deposited:||28 Jul 2015 11:23|
|Last Modified:||05 Apr 2016 18:18|
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