Neural Networks in Material Modeling and Computational Mechanics

本研究将探索一种新的材料建模方法 基于神经网络的使用。 这种做法是不同的 从传统的基于结构的方法， 相对简单的数学模型和使用经典的 参数识别技术 相反，在神经 网络建模的材料行为的知识是 直接从观察到的实验行为中捕获， 编码在一个学习的、自组织的 神经网络的

This research will investigate a new method of material modeling based on the use of neural networks. This approach is different from the conventional methods that are based on the construction of relatively simple mathematical models and the use of classical parameter identification techniques. By contrast, in neural network modeling the knowledge of the material behavior is captured directly from observed experimental behavior and is encoded within the connections of a learning, self-organizing neural network.