Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy

标题
Local tangent space alignment and relevance vector machine as nonlinear methods for estimating sensory quality of tea using NIR spectroscopy
作者
关键词
Near infrared (NIR) spectroscopy, Green tea, Local tangent space alignment, Relevance vector machine, Sensory quality
出版物
VIBRATIONAL SPECTROSCOPY
Volume -, Issue -, Pages -
出版商
Elsevier BV
发表日期
2019-05-09
DOI
10.1016/j.vibspec.2019.05.005

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