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E-nose based rapid prediction of early mouldy grain using probabilistic neural networks

In this paper, early mouldy grain rapid prediction method using probabilistic neural network (PNN) and electronic nose (e-nose) was studied. E-nose responses to rice, red bean, and oat samples with different qualities were measured and recorded. E-nose data was analyzed using principal component ana...

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書目詳細資料
發表在:Bioengineered
Main Authors: Ying, Xiaoguo, Liu, Wei, Hui, Guohua, Fu, Jun
格式: Artigo
語言:Inglês
出版: Taylor & Francis 2015
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC4601313/
https://ncbi.nlm.nih.gov/pubmed/25714125
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/21655979.2015.1022304
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