Neural network and principal component regression in non-destructive soluble solids content assessment:a comparison
soluble solids、principal component regression、artificial neural network、Neural、performance、input variables、near infrared spectroscopy、multiple linear regression、nonlinear model、ANN、technology、PCR、interest、spectra、initial、paper、green、based
13
TS207.3;S123(食品工业)
supported by the Zamalah Scholarship from the Universiti Teknologi MalaysiaUTM.J.10.01/13.14/1/127/1 Jld 348
2012-05-17(万方平台首次上网日期,不代表论文的发表时间)
145-151