预测云杉木材横向力学性能的机器学习方法的潜力

IF 2.2 3区 农林科学 Q2 FORESTRY
Shuoye Chen, Rei Shiina, K. Nakai, T. Awano, A. Yoshinaga, J. Sugiyama
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Potential of machine learning approaches for predicting mechanical properties of spruce wood in the transverse direction
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来源期刊
Journal of Wood Science
Journal of Wood Science 工程技术-材料科学:纸与木材
CiteScore
5.40
自引率
10.30%
发文量
57
审稿时长
6 months
期刊介绍: The Journal of Wood Science is the official journal of the Japan Wood Research Society. This journal provides an international forum for the exchange of knowledge and the discussion of current issues in wood and its utilization. The journal publishes original articles on basic and applied research dealing with the science, technology, and engineering of wood, wood components, wood and wood-based products, and wood constructions. Articles concerned with pulp and paper, fiber resources from non-woody plants, wood-inhabiting insects and fungi, wood biomass, and environmental and ecological issues in forest products are also included. In addition to original articles, the journal publishes review articles on selected topics concerning wood science and related fields. The editors welcome the submission of manuscripts from any country.
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