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5. Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Interval

Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Interval

来源 :自动化学报:英文版 | 被引量 : 0次 | 上传用户：lionfirst

【摘 要】

：

Prediction intervals(PIs)for industrial time series can provide useful guidance for workers.Given that the failure of industrial sensors may cause the missing p

【作 者】

：

Long Chen Linqing Wang Zhongya 

【机 构】

：

KeyLaboratoryofIntelligentControlandOptimizationforIndustrialEquipmentofMinistryofEducation,IEEE

【出 处】

：

自动化学报:英文版

【发表日期】

：

2020年5期

【关键词】

：

Industrial time series kernel dynamic Bayesian networks(KDBN) prediction interva 

【基金项目】

：

supported by the National Key Research andDevelopment Program of China(2017YFA0700300),the National Natural Sciences Foundation of China(61533005,61703071,61603069)

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Prediction intervals(PIs)for industrial time series can provide useful guidance for workers.Given that the failure of industrial sensors may cause the missing point in inputs,the existing kernel dynamic Bayesian networks(KDBN),serving as an effective meth

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