Linear and non-linear pattern recognition models for classification of fruit from visible-near infrared spectra

Chemometrics and Intelligent Laboratory Systems

Volumn 51, Issue 2, 2000, Pages 201-216

  Kim, Jaesoo ^a   Mowat, Alistair ^b   Poole, Philip ^c   Kasabov, Nikola ^d  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b THE NEW ZEALAND INSTITUTE FOR PLANT AND FOOD RESEARCH LIMITED   (New Zealand)

^c Poole Scientific Ltd   (New Zealand)

^d UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Artificial neural networks; Canonical variate analysis; Feature extraction; Kiwifruit; Linear discrimination; Pattern recognition and classification; VNIR spectra

Indexed keywords

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; FRUIT; INFRARED SPECTROSCOPY; LINEAR SYSTEM; PATTERN RECOGNITION; PRIORITY JOURNAL; REVIEW;

EID: 0034710164     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-7439(00)00070-8     Document Type: Article

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