Paper Title:
Modeling Wood Density of Larch by Near-Infrared Spectrometry and Support Vector Machine
  Abstract

Model for predicting wood density of Larch was established using near-infrared spectroscopy (NIR) combined with support vector machine (SVM). A hundred and seventeen Larch samples were used in the study. Wood density of samples was measured according to standard test methods for physical and mechanical properties of wood. Support vector machines for regression (SVR) was used for model building. Radial basis function (RBF) was used as kernel function to establish a model for predicting wood density. For the train set, the coefficient of determination (R2) and the mean square error (MSE) were 0.8504 and 0.6460×10-3, while the R2 and MSE was 0.8520 and 0.4451×10-3, respectively, for the test set. Results showed that using SVM in near-infrared spectroscopy calibration could significantly improve the model performance in order to rapidly and accurately predict wood density.

  Info
Periodical
Edited by
Qi Luo
Pages
433-438
DOI
10.4028/www.scientific.net/AMM.55-57.433
Citation
Y. Z. Zhang, Y. X. Li, H. F. Zhang, H. J. Zhang, P. Li, "Modeling Wood Density of Larch by Near-Infrared Spectrometry and Support Vector Machine", Applied Mechanics and Materials, Vols. 55-57, pp. 433-438, 2011
Online since
May 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Pai Li, Hong Fu Zhang, Yao Xiang Li, Ya Zhao Zhang, Hui Juan Zhang
Abstract:Application of BP neural network and NIRS for larch wood density prediction was investigated in this paper. The original spectra were...
306
Authors: Zhi Hua Qu, Li Hai Wang
Environmental Biotechnology
Abstract:The crystallinity of wood is an important property of wood materials, it has an important effect on the physical, mechanical and chemical...
1215
Authors: Jing Li, Long Xue, Mu Hua Liu, Ping Lv, Lin Yuan Yan
Chapter 2: Mechanical Engineering, Control Engineering and Materials Engineering
Abstract:Vis/NIR spectroscopy was used to measure the moisture content of ginger. 330 samples were separated into two groups, as training and...
563
Authors: Pai Li, Yao Xiang Li
Chapter 3: Material Engineering
Abstract:In this paper, an integration of BP neural network and PCA for modeling wood water content of larch combined with NIRS was investigated. The...
253
Authors: Zhong Yang, Ya Na Liu, Bin Lv
Chapter 1: Manufacturing Technology and Processing
Abstract:Chinese fir and eucalyptus are the important plantation wood species in China. Wood color is a property that can reflect aesthetic features...
304