European Journal of Wood and Wood Products

, Volume 77, Issue 6, pp 1107–1116 | Cite as

Prediction of the color change of heat-treated wood during artificial weathering by artificial neural network

  • Tat Thang Nguyen
  • Thi Hai Van Nguyen
  • Xiaodi Ji
  • Bingnan Yuan
  • Hien Mai Trinh
  • Khoa Thi Lanh Do
  • Minghui GuoEmail author


The purpose of this study was to predict the color change of heat-treated wood during artificial weathering by an artificial neural network (ANN) model. Chemical component analysis was used to analyze the origin of color change of the heat-treated wood. The network included an input layer consisting of three input nodes, namely, the weathering exposure time, heat treatment temperature, and heat-treated wood species, a hidden layer using six neurons and an output layer consisting of one output node, namely heat-treated wood color. A hyperbolic tangent sigmoid transfer function was used in the hidden layer, and the training algorithm was the Levenberg–Marquardt backpropagation. According to the results, the mean absolute percentage errors (MAPE) were 8.17, 9.70, and 9.85% for the prediction of color change (ΔE) for training, validation and testing data sets, respectively. Determination coefficients (R2) above 0.92 were obtained with the proposed ANN model for all data sets. These results showed that the ANN model can be successfully used for predicting the color change of heat-treated wood during artificial weathering. FTIR results showed that the color change of heat-treated wood during artificial weathering is due to the change in the chemical composition, especially the photodegradation of lignin and wood extractives.



This work is financially supported by Applied Technology Research and Development Program of Heilongjiang Province (GX16A002).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Key Laboratory of Bio-Based Material Science and Technology, Ministry of EducationNortheast Forestry UniversityHarbinPeople’s Republic of China
  2. 2.Vietnam National University of ForestryHanoiVietnam

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