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Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification

Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification
Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification
IEEE
Yang, Z R
ef89b793-c566-40c4-8115-e1eb9c615407
Zwolinski, M
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Chalk, C D
ded4b5b0-e49a-423d-a661-74cc7de9c1ce
Williams, A C
fce9caa1-adff-4d3a-a1f2-0767edada0c2
Yang, Z R
ef89b793-c566-40c4-8115-e1eb9c615407
Zwolinski, M
adfcb8e7-877f-4bd7-9b55-7553b6cb3ea0
Chalk, C D
ded4b5b0-e49a-423d-a661-74cc7de9c1ce
Williams, A C
fce9caa1-adff-4d3a-a1f2-0767edada0c2

Yang, Z R, Zwolinski, M, Chalk, C D and Williams, A C (2000) Applying a Robust Heteroscedastic Probabilistic Neural Network to Analog Fault Detection and Classification

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Published date: January 2000
Organisations: EEE

Identifiers

Local EPrints ID: 252874
URI: http://eprints.soton.ac.uk/id/eprint/252874
PURE UUID: 84063e0e-af82-461c-81e4-ab469e6d6a70
ORCID for M Zwolinski: ORCID iD orcid.org/0000-0002-2230-625X

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Date deposited: 29 Mar 2000
Last modified: 18 Jul 2017 10:00

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Contributors

Author: Z R Yang
Author: M Zwolinski ORCID iD
Author: C D Chalk
Author: A C Williams

University divisions

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