[1] SCHWANNINGER M,RODRIGUES J C,FACKLER K.A review of band assignments in near infrared spectra of wood and wood components[J].Journal of Near Infrared Spectroscopy,2011,19(5):287-308.
[2] TSUCHIKAWA S,SCHWANNINGER M.A review of recent near-infrared research for wood and paper(part 2)[J].Applied Spectroscopy Reviews,2013,48(7):560-587.
[3] TAVASSOLI N,TSAI W,BICHO P,et al.Multivariate classification of pulp NIR spectra for end-product properties using discrete wavelet transform with orthogonal signal correction[J].Analytical Methods,2014,6(22):8906-8914.
[4] ISHIZUKA S,SAKAI Y,TANAKA-ODA A.Quantifying lignin and holocellulose content in coniferous decayed wood using near-infrared reflectance spectroscopy[J].Journal of Forest Research,2014,19(1):233-237.
[5] BÄCHLE H,ZIMMER B,WEGENER G.Classification of thermally modified wood by FT-NIR spectroscopy and SIMCA[J].Wood Science and Technology,2012,46(6):1181-1192.
[6] 江泽慧,李改云,王戈,等.近红外光谱法测定毛竹综纤维素的含量研究[J].林产化学与工业,2007,27(1):15-18. JIANG Ze-hui,LI Gai-yun,WANG Ge,et al.Study on determination of holocellulose content of bamboo by near-infrared reflectance spectroscopy[J].Chemistry and Industry of Forest Products,2007,27(1):15-18.
[7] 杨忠,吕斌,黄安民,等.近红外光谱技术快速识别针叶材和阔叶材的研究[J].光谱学与光谱分析,2012,32(7):1785-1789. YANG Zhong,LÜ Bin,HUANG An-min,et al.Rapid identification of softwood and hardwood by near infrared spectroscopy of cross-sectional surfaces[J].Spectroscopy and Spectral Analysis,2012,32(7):1785-1789.
[8] CARBALLO-MEILAN A,GOODMAN A M,BARON M G,et al.A specific case in the classification of woods by FTIR and chemometric:Discrimination of fagales from malpighiales[J].Cellulose,2014,21(1):261-273.
[9] 马明宇,王桂芸,黄安民,等.人工神经网络结合近红外光谱用于木材树种识别[J].光谱学与光谱分析,2012,32(9):2377-2381. MA Ming-yu,WANG Gui-yun,HUANG An-min,et al.Study on artificial neural network combined with near infrared spectroscopy for wood species identification[J].Spectroscopy and Spectral Analysis,2012,32(9):2377-2381.
[10] MORA C R,SCHIMLECK L R.Kernel regression methods for the prediction of wood properties of Pinus taeda using near infrared spectroscopy[J].Wood Science and Technology,2010,44(4):561-578.
[11] 黄安民,焦淑菲,任海青,等.支持向量机结合近红外光谱法测定杉木木质素的含量[J].林产化学与工业,2009,29(5):1-5. HUANG An-min,JIAO Shu-fei,REN Hai-qing,et al.Determination of lignin content of Chinese fir wood by support vector machine and near-infrared spectrometry[J].Chemistry and Industry of Forest Products,2009,29(5):1-5.
[12] CORTES C,VAPNIK V.Support-vector networks[J].Machine Learning,1995,20(3):273-297.
[13] NASCIMBEM L R,RUBINI B R,POPPI R J.Determination of quality parameters in moist wood chips by near infrared spectroscopy combining PLS-DA and support vector machines[J].Journal of Wood Chemistry and Technology,2013,33(4):247-257.
[14] HASTIE T,TIBSHIRANI R,FRIEDMAN J,et al.The elements of statistical learning:Data mining,inference and prediction[J].The Mathematical Intelligencer,2005,27(2):83-85.
[15] HSU C W,LIN C J.A comparison of methods for multiclass support vector machines[J].IEEE Transactions on Neural Networks,2002,13(2):415-425.
[16] CHANG C C,LIN C J.LIBSVM:A library for support vector machines[J].ACM Transactions on Intelligent Systems and Technology,2011,2(3):389-396. |