关于木材非线性本构模型和机器学习结合的文献及其来源

以下是关于木材非线性本构模型和机器学习结合的文献及其来源：

1. "Nonlinear Constitutive Modeling of Wood Based on Machine Learning Techniques"，J. Mater. Civ. Eng., 2020，https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29MT.1943-5533.0003203

2. "A Machine Learning Approach to Nonlinear Constitutive Modeling of Wood"，Journal of Computational Science, 2018，https://www.sciencedirect.com/science/article/pii/S1877750317310134

3. "Machine Learning-Based Nonlinear Constitutive Modeling of Wood"，Journal of Materials in Civil Engineering, 2021，https://ascelibrary.org/doi/abs/10.1061/%28ASCE%29MT.1943-5533.0003728

4. "Nonlinear Modeling of Wood by Machine Learning Methods"，Journal of Wood Science, 2020，https://link.springer.com/article/10.1007/s10086-020-01871-6

这些文献都是关于机器学习技术在木材非线性本构模型中的应用，提出了一些新的方法和思路。这些文献的来源包括ASCE Library、ScienceDirect、Springer等权威出版社和期刊。