Identification of tea based on CARS‐SWR variable optimization of visible/near‐infrared spectrum

Intelligent evaluation of color sensory quality of black tea by visible-near infrared spectroscopy technology: A comparison of spectra and color data information

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A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis

(2016) Mengchao Wang et al.   ENERGY AND BUILDINGS

Using an unsupervised approach of Probabilistic Neural Network (PNN) for land use classification from multitemporal satellite images

(2015) Jawad Iounousse et al.   APPLIED SOFT COMPUTING

Using FTIR spectra and pattern recognition for discrimination of tea varieties

(2015) Jian-xiong Cai et al.   INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES

Application of GRNN neural network in non-texture image inpainting and restoration

(2015) Vahid K. Alilou et al.   PATTERN RECOGNITION LETTERS

Discrimination of oolong tea (Camellia sinensis) varieties based on feature extraction and selection from aromatic profiles analysed by HS-SPME/GC–MS

(2013) Jie Lin et al.   FOOD CHEMISTRY

Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration

(2009) Hongdong Li et al.   ANALYTICA CHIMICA ACTA

Discriminating varieties of tea plant based on Vis/NIR spectral characteristics and using artificial neural networks

(2008) Xiaoli Li et al.   BIOSYSTEMS ENGINEERING

Classification of brands of instant noodles using Vis/NIR spectroscopy and chemometrics

(2008) Fei Liu et al.   FOOD RESEARCH INTERNATIONAL