A learning strategy for developing neural networks using repetitive observations

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A learning strategy for developing neural networks using repetitive observations

Neural networks can model system behaviors by learning past system observations. As system observations are usually collected by human judgments, physical experiments or sensor measures, they can be inherently imprecise and inconsistent over time. System behaviors can be learned more completely from...

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Bibliographic Details
Main Authors:	Chan, Kit Yan, Liu, Z.
Format:	Journal Article
Published:	Springer Verlag 2018
Online Access:	http://hdl.handle.net/20.500.11937/69571

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