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> Publications > Paper| Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine | ||
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Hongbin Liu, Chong Yang∗, Mingzhi Huang, ChangKyoo Yoo, Soft sensor modeling of industrial process data using kernel latent variables-based relevance vector machine, Applied Soft Computing Journal (SCI, ISSN: 1568-4946, JCR TOP 11%-Computer Science:Interdisciplinary Appl. AI) 90(2), 106149(1-) (2020.02) (Acknowl: Nanjing Forestry University(No. GXL029) & Fine Dust Reduction Technology(19QPPW-B152306-01) & 연구재단융합과제(NRF-2019H1D3A1A02071051) |
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| 이전글 | Soft sensor validation for monitoring and resilient control of sequential subway indoor air quality through memory-gated recurrent neural networks-based autoencoders | |
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