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澳大利亚Swinburne University of Technology招收全奖硕士/博士生一名
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研究问题： 将机器学习技术纳入有限元损伤模拟中是否会将现实世界中的损伤预测能力提高到一个新水平。 项目简介: 该研究计划旨在开发一种新的新颖计算技术，运用遗传和机器学习算法，并探索与有限元分析协同的人工神经网络（ANN）的巧妙特征，从而确定高度非线性的机械特性和响应具有奇异材料特性的结构和材料。 Research Question: Whether the incorporation of machine learning techniques into the finite element injury simulations will enhance the real-world injury prediction capacity to a new level. Project Description: This research proposal aims to develop a new novel computational techniques, employing genetic and machine learning algorithms, and exploring the ingenious features of artificial neural networks (ANN) synergistic to the FE analysis, in order to determine the mechanical properties and responses of the highly nonlinear structures and materials that possess exotic material properties. If you are interested in this position, please send an email to Dr Kwong Ming TSE (ktse@swin.edu.au), with the email subject“EOI-Machine Learning”. Please also include a copy of your CV (with your current residential location), academic UG & PG transcripts, English test results (IELTS or TOEFL or equivalent) and copies of journal publications (if applicable). Thank you. |
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2楼2020-10-13 10:39:03
