Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine

标题
Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine
作者
关键词
Latent variable modeling, Kernel partial least squares, Relevance vector machine, Indoor air quality, Wastewater treatment processes
出版物
APPLIED SOFT COMPUTING
Volume 90, Issue -, Pages 106149
出版商
Elsevier BV
发表日期
2020-02-01
DOI
10.1016/j.asoc.2020.106149

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