2024年03月29日 星期五 登录 EN

学术活动
Deep neural network approximation to inverse conductivity problems for elliptic equations
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报告人:
Zhi Zhou, Professor, Department of Applied Mathematics, The Hong Kong Polytechnic University
邀请人:
Wei Gong, Associate Professor
题目:
Deep neural network approximation to inverse conductivity problems for elliptic equations
时间地点:
10:00-11:00, March 23 (Thursday), Tencent Meeting: 467-757-978
摘要:

The focus of this talk is on the numerical methods used to identify parameters in partial differential equations. Typically, an optimization approach is used to solve this class of inverse problems, which is then discretized using finite difference method, finite element methods, or deep neural networks for practical purposes. Then one critical issue is to establish a priori error estimates for accurately reconstructing the desired parameter. In this talk, the speaker will discuss their recent study on the deep neural network approximation for parameter identification problems by effectively utilizing relevant stability results.