A comparison of non-linear regression methods for improved on-line near infrared spectroscopic analysis of a sugarcane quality measure:
作者： Justin Sexton , Yvette Everingham , David Donald , Steve Staunton , Ronald White
关键词:
摘要: On-line near infrared (NIR) spectroscopic analysis systems play an important role in assessing the quality of sugarcane Australia. As measures are used to calculate payment made g...
osapublishing.org
sagepub.com
harvard.edu参考文章(40)
Rikke Tange, Morten Arendt Rasmussen, Eizo Taira, Rasmus Bro, Application of support vector regression for simultaneous modelling of near infrared spectra from multiple process steps Journal of Near Infrared Spectroscopy. ,vol. 23, pp. 75- 84 ,(2015) , 10.1255/JNIRS.1149
W. N. Venables, B. D. Ripley, Modern Applied Statistics with S Springer. ,(2010) , 10.1007/978-0-387-21706-2
Richard A Olshen, Charles J Stone, Leo Breiman, Jerome H Friedman, Classification and regression trees ,(1983)
Jerome H. Friedman, Greedy function approximation: A gradient boosting machine. Annals of Statistics. ,vol. 29, pp. 1189- 1232 ,(2001) , 10.1214/AOS/1013203451
Tormod Næs, Tomas Isaksson, Selection of Samples for Calibration in Near-Infrared Spectroscopy. Part I: General Principles Illustrated by Example: Applied Spectroscopy. ,vol. 43, pp. 328- 335 ,(1989) , 10.1366/0003702894203129
R.A. Viscarra Rossel, T. Behrens, Using data mining to model and interpret soil diffuse reflectance spectra. Geoderma. ,vol. 158, pp. 46- 54 ,(2010) , 10.1016/J.GEODERMA.2009.12.025
Nazmi Mat Nawi, Guangnan Chen, Troy Jensen, Saman Abdanan Mehdizadeh, Prediction and classification of sugar content of sugarcane based on skin scanning using visible and shortwave near infrared Biosystems Engineering. ,vol. 115, pp. 154- 161 ,(2013) , 10.1016/J.BIOSYSTEMSENG.2013.03.005
Stacy L Özesmi, Uygar Özesmi, An artificial neural network approach to spatial habitat modelling with interspecific interaction Ecological Modelling. ,vol. 116, pp. 15- 31 ,(1999) , 10.1016/S0304-3800(98)00149-5
Tahir Mehmood, Kristian Hovde Liland, Lars Snipen, Solve Sæbø, A review of variable selection methods in Partial Least Squares Regression Chemometrics and Intelligent Laboratory Systems. ,vol. 118, pp. 62- 69 ,(2012) , 10.1016/J.CHEMOLAB.2012.07.010
J.A. Fernández Pierna, B. Lecler, J.P. Conzen, A. Niemoeller, V. Baeten, P. Dardenne, Comparison of various chemometric approaches for large near infrared spectroscopic data of feed and feed products. Analytica Chimica Acta. ,vol. 705, pp. 30- 34 ,(2011) , 10.1016/J.ACA.2011.03.023