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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