Inverse Problem with Respect to Domain and Artificial Neural Network Algorithm for the Solution

Kambiz Majidzadeh

首页> 外文期刊>Mathematical Problems in Engineering >Inverse Problem with Respect to Domain and Artificial Neural Network Algorithm for the Solution

【24h】

Inverse Problem with Respect to Domain and Artificial Neural Network Algorithm for the Solution

机译：关于领域的逆问题和人工神经网络算法求解

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

We consider the inverse problem with respect to domain. We suggested a new approach for reducing the inverse problem for a domain to an equivalent problem in a variational setting and gave an effective solution algorithm for solving such problems. In order to solve boundary problem, the artificial neural network is used in each step of the iteration.

机译：我们考虑关于领域的反问题。我们提出了一种新的方法，将变域中的域反问题简化为等效问题，并给出了解决此类问题的有效解决方案算法。为了解决边界问题，在迭代的每个步骤中都使用了人工神经网络。

著录项

来源
《Mathematical Problems in Engineering》 |2011年第3期|p.1-16|共16页
作者
Kambiz Majidzadeh;
展开▼
作者单位

Institute of Applied Mathematics, Baku State University, Baku 1148, Azerbaijan,Institute of Information Technology, ANAS, Baku 1141, Azerbaijan;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Inverse Problem with Respect to Domain and Artificial Neural Network Algorithm for the Solution [J] . KambizMajidzadeh Mathematical Problems in Engineering: Theory, Methods and Applications . 2011,第2期

机译：领域逆问题和人工神经网络算法求解
2. Optimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm AlgorithmOptimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm AlgorithmOptimization of Laser Ablation Technology for PDPhSM Matrix Nanocomposite Thin Film by Artificial Neural Networks-particle Swarm Algorithm [J] . TANG Puhong, SONG Renguo, CHAI Guozhong, 武汉理工大学学报：材料科学英文版 . 2010,第002期

机译：人工神经网络优化PDPhSM纳米复合薄膜的激光烧蚀技术-粒子群算法人工神经网络优化PDPhSM纳米复合薄膜的激光烧蚀技术-人工神经网络优化PDPhSM纳米复合薄膜的激光烧蚀技术网络粒子群算法
3. Inverse problem of aircraft structural parameter identification: application of genetic algorithms compared with artificial neural networks [J] . P. M. TRIVAILO, T. GILBERT, E. GLESSICH, Inverse Problems in Science & Engineering . 2006,第4期

机译：飞机结构参数辨识的反问题：遗传算法与人工神经网络的比较
4. Solution of an Inverse Problem in Raman Spectroscopy of Multi-component Solutions of Inorganic Salts by Artificial Neural Networks [C] . Alexander Efitorov, Tatiana Dolenko, Sergey Burikov, International conference on artificial neural networks . 2016

机译：用人工神经网络解决无机盐多组分溶液拉曼光谱中的逆问题
5. Solutions of inverse problems in elastic wave propagation with artificial neural networks [D] . Sribar, Rok. 1994

机译：用人工神经网络解决弹性波传播中的逆问题
6. Optimizing Low-Concentration Mercury Removal from Aqueous Solutions by Reduced Graphene Oxide-Supported Fe3O4 Composites with the Aid of an Artificial Neural Network and Genetic Algorithm [O] . Rensheng Cao, Mingyi Fan, Jiwei Hu, 2017

机译：人工神经网络和遗传算法辅助还原氧化石墨烯负载的Fe3O4复合材料优化水溶液中低浓度脱汞
7. Inverse Problem with Respect to Domain and Artificial Neural Network Algorithm for the Solution [O] . Kambiz Majidzadeh 2011

机译：关于解决方案的域和人工神经网络算法的反问题

Inverse Problem with Respect to Domain and Artificial Neural Network Algorithm for the Solution

摘要

著录项

相似文献

相关主题

期刊订阅