Prediction of mechanical properties of artificially weathered wood by color change and machine learning

V Nasir, H Fathi, A Fallah, S Kazemirad, F Sassani… - Materials, 2021 - mdpi.com
Color parameters were used in this study to develop a machine learning model for
predicting the mechanical properties of artificially weathered fir, alder, oak, and poplar wood.
A CIELAB color measuring system was employed to study the color changes in wood
samples. The color parameters were fed into a decision tree model for predicting the MOE
and MOR values of the wood samples. The results indicated a reduction in the mechanical
properties of the samples, where fir and alder were the most and least degraded wood …

[PDF][PDF] Prediction of Mechanical Properties of Artificially Weathered Wood by Color Change and Machine Learning. Materials 2021, 14, 6314

V Nasir, H Fathi, A Fallah, S Kazemirad, F Sassani… - 2021 - academia.edu
Color parameters were used in this study to develop a machine learning model for
predicting the mechanical properties of artificially weathered fir, alder, oak, and poplar wood.
A CIELAB color measuring system was employed to study the color changes in wood
samples. The color parameters were fed into a decision tree model for predicting the MOE
and MOR values of the wood samples. The results indicated a reduction in the mechanical
properties of the samples, where fir and alder were the most and least degraded wood …
以上显示的是最相近的搜索结果。 查看全部搜索结果

Google学术搜索按钮

example.edu/paper.pdf
查找
获取 PDF 文件
引用
References