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	PEMFC power prediction based on deep auto-encoder and LS-SVMR
	Hong, S.; Sun, L.; Yin, J.; Yu, T.; Wang, Y.; Zhu, W.
	2018
会议名称	2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018
关键词	Clustering algorithms Data handling Deep learning Deep neural networks Forecasting Information analysis Least squares approximations Proton exchange membrane fuel cells (PEMFC) Signal encoding Support vector machines Auto encoders Classification accuracy Forecasting accuracy Health management High dimensional data Least squares support vector machines regressions LS-SVMR Power predictions Big data
页码	391-396
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/5931637
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Hong, S.,Sun, L.,Yin, J.,et al. PEMFC power prediction based on deep auto-encoder and LS-SVMR[C]. 见:2018 IEEE 3rd International Conference on Big Data Analysis, ICBDA 2018.

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