Adaptive inference-based learning and rule generation algorithms in fuzzy neural network for failure prediction

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dc.contributor.author Behbood, V
dc.contributor.author Lu, J
dc.contributor.author Zhang, G
dc.date.accessioned 2012-02-02T11:06:40Z
dc.date.issued 2010
dc.identifier.citation Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010, 2010, pp. 33 - 38
dc.identifier.isbn 9781424467907
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16100
dc.description.abstract Creating an applicable and precise failure prediction system is highly desirable for decision makers and regulators in the finance industry. This study develops a new Failure Prediction (FP) approach which effectively integrates a fuzzy logic-based adaptive inference system with the learning ability of a neural network to generate knowledge in the form of a fuzzy rule base. This FP approach uses a preprocessing phase to deal with the imbalanced data-sets problem and develops a new Fuzzy Neural Network (FNN) including an adaptive inference system in the learning algorithm along with its network structure and rule generation algorithm as a means to reduce prediction error in the FP approach. © 2010 IEEE.
dc.relation.isbasedon 10.1109/ISKE.2010.5680789
dc.title Adaptive inference-based learning and rule generation algorithms in fuzzy neural network for failure prediction
dc.type Conference Proceeding
dc.parent Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010
dc.journal.number en_US
dc.publocation China en_US
dc.identifier.startpage 33 en_US
dc.identifier.endpage 38 en_US
dc.cauo.name FEIT.School of Systems, Management and Leadership en_US
dc.conference Verified OK en_US
dc.conference IEEE International Conference on Intelligent Systems and Knowledge Engineering
dc.for 080108 Neural, Evolutionary and Fuzzy Computation
dc.personcode 001038
dc.personcode 020014
dc.personcode 108650
dc.percentage 100 en_US
dc.classification.name Neural, Evolutionary and Fuzzy Computation en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom IEEE International Conference on Intelligent Systems and Knowledge Engineering en_US
dc.date.activity 20101115 en_US
dc.date.activity 2010-11-15
dc.location.activity China en_US
dc.description.keywords Adaptive fuzzy inference systems
dc.description.keywords Failure prediction
dc.description.keywords Fuzzy neural network
dc.description.keywords Imbalanced data-sets
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/Faculty of Engineering and Information Technology/School of Software
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
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)


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