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Applying machine learning to predict the tensile shear strength of bonded beech wood as a function of the composition of polyurethane prepolymers and various pretreatments
Mark Schubert, Oliver Kläusler
Empa ETH Zurich
来源Wood Science and Technology
年份2019
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学术脉络
学科主题
材料 / 化学Machine Learning in Materials Science
Wood Treatment and Properties · Mechanical Behavior of Composites
参考文献 31
Bayesian Regularization of Neural Networks
被引 676Frank R. Burden, David Alan Winkler · Methods in molecular biology · 2008
DS/ENV 1995-1-1 NAD National Application Document for Eurocode 5: Design of Timber Structures, Part 1-1: General Rules and Rules for Buildings
被引 379John Adelhøj, Niels Lambert Mortensen, Hilmer Riberholt · 1994
A Practical Approach to Feature Selection
被引 3,072Kenji Kira, Larry A. Rendell · Elsevier eBooks · 1992
此处列出前 3 条
引用本文 19
Sustainability in Wood Products: A New Perspective for Handling Natural Diversity
被引 121Mark Schubert, Guido Panzarasa, Ingo Burgert · Chemical Reviews · 2022
Selected previous findings on the factors influencing the gluing quality of solid wood products in timber construction and possible developments: A review
被引 65Andreas Hänsel, Jakub Sandak, Anna Sandak · Wood Material Science and Engineering · 2021
Machine learning and finite element analysis: An integrated approach for fatigue lifetime prediction of adhesively bonded joints
被引 47Giovanni C. Silva, Vinícius Carrillo Beber, Diogo Berta Pitz · Fatigue & Fracture of Engineering Materials & Structures · 2021
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