A Neural Network Diagnosis Model Without Disorder Independence Assumption

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dc.contributor.author Xu, YL
dc.contributor.author Zhang, C
dc.date.accessioned 2011-02-07T06:22:15Z
dc.date.issued 1998-01
dc.identifier.citation Pricai'98: Topics In Artificial Intelligence, 1998, 1531 pp. 341 - 352
dc.identifier.issn 0302-9743
dc.identifier.other C1UNSUBMIT en_US
dc.identifier.uri http://hdl.handle.net/10453/13502
dc.description.abstract Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder independence assumption is no longer necessary. Firstly, we characterize the diagnostic tasks and the causal network which is used to represent the diagnostic problem, then we describe the neural network diagnosis model, finally, some experiment results will be given.
dc.format Yes
dc.publisher Springer-verlag Berlin
dc.title A Neural Network Diagnosis Model Without Disorder Independence Assumption
dc.type Journal Article
dc.parent Pricai'98: Topics In Artificial Intelligence
dc.journal.volume 1531
dc.journal.number en_US
dc.publocation Berlin en_US
dc.identifier.startpage 341 en_US
dc.identifier.endpage 352 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.for 080101 Adaptive Agents and Intelligent Robotics
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 011221
dc.percentage 70 en_US
dc.classification.name Pattern Recognition and Data Mining en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity ISI:000084730100030 en_US
dc.description.keywords Generally, the disorders in a neural network diagnosis model are assumed independent each other. In this paper, we propose a neural network model for diagnostic problem solving where the disorder independence assumption is no longer necessary. Firstly, w en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Strength - Quantum Computation and Intelligent Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Uncategorised (ID: 363)
utslib.collection.history Closed (ID: 3)


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