Improving the performance of radial basis function classifiers in condition monitoring and fault diagnosis applications where 'unknown' faults may occur

نویسندگان

  • Yuhua Li
  • Michael J. Pont
  • N. Barrie Jones
چکیده

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.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 23  شماره 

صفحات  -

تاریخ انتشار 2002