Topological derivative and Neural Network for Inverse Problems of Coupled Models

被引：0

作者：

Lipnicka, Marta

Szulc, Katarzyna ^{[1
]}

Zochowski, Antoni ^{[1
]}

机构：

[1] Georgia Inst Technol, Dept Elect & Comp Engn, Atlanta, GA 30332 USA

来源：

2016 21ST INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR) | 2016年

关键词：

Shape Optimisation; Topological Derivative; Artificial Neural Networks; SHAPE OPTIMIZATION; ELASTICITY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In the paper we consider a new method based on the neural network for finding the location of small holes in the domain, in which the coupled linear and nonlinear boundary value problems are defined. The linear and nonlinear components are connected by the transmission conditions on the interface boundary. We use an artificial neural network, which calculates the locations of hole in the linear component of the domain based of input data, comming from the exterior part of the domain and based on the topological derivative.

引用

页码：230 / 234

页数：5

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