Adaptive Inference-based Learning and Rule Generation Algorithms in Fuzzy Neural Network for Failure Prediction

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dc.contributor.author Behbood, Vahid en_US
dc.contributor.author Lu, Jie en_US
dc.contributor.author Zhang, Guangquan en_US
dc.contributor.editor Xiaogang Jin, Yangguang Liu, Tianrui Li and Da Ruan en_US
dc.date.accessioned 2012-02-02T11:06:40Z
dc.date.available 2012-02-02T11:06:40Z
dc.date.issued 2010 en_US
dc.identifier 2010001756 en_US
dc.identifier.citation Behbood Vahid, Lu Jie, and Zhang Guangquan 2010, 'Adaptive Inference-based Learning and Rule Generation Algorithms in Fuzzy Neural Network for Failure Prediction', , IEEE, China, , pp. 33-38. en_US
dc.identifier.issn 978-1-4244-6793-8 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16100
dc.description.abstract 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. en_US
dc.language English en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/ISKE.2010.5680789 en_US
dc.title Adaptive Inference-based Learning and Rule Generation Algorithms in Fuzzy Neural Network for Failure Prediction en_US
dc.parent The Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2010) en_US
dc.journal.volume en_US
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.for 080108 en_US
dc.personcode 108650 en_US
dc.personcode 001038 en_US
dc.personcode 020014 en_US
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.location.activity China en_US
dc.description.keywords Fuzzy neural network; Failure prediction; Adaptive fuzzy inference systems; Imbalanced data-sets en_US
dc.staffid en_US
dc.staffid 020014 en_US


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