Yamashita, Hideo and Cingoski, Vlatko (1994) On the application of Hopfield neural network in finite element analysis. In: IOS Press, 1995. Advanced Computational Electromagnetics . Elsevier, Budapest, Hungary, pp. 37-49.
This is the latest version of this item.
Preview |
Text
advanced.pdf Download (2MB) | Preview |
Abstract
In this paper, the application of neural networks technique particularly the Hopfield Neural Network in ordinary finite element analysis is presented. Due to its main property of minimizing the energy stored in the network, the Hopfield Neural Network can easily find application in finite element analysis. Two specific applications of the Hopfield Neural Network will be discussed : First, for obtaining the solution of finite elements analysis directly, and second, for obtaining the solution of inverse optimization problems also in onnection wuth finite elements analyses, The main and some basic mathematical calculus, as far as some examples of the applications, are also presented.
| Item Type: | Book Section |
|---|---|
| Subjects: | Engineering and Technology > Electrical engineering, electronic engineering, information engineering |
| Divisions: | Faculty of Electrical Engineering |
| Depositing User: | Vlatko Cingoski |
| Date Deposited: | 01 Oct 2013 14:19 |
| Last Modified: | 01 Oct 2013 14:19 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/7593 |
Available Versions of this Item
-
On the application of hopfield neural network finite element analysis. (deposited 17 Dec 2012 13:55)
- On the application of Hopfield neural network in finite element analysis. (deposited 01 Oct 2013 14:19) [Currently Displayed]
Actions (login required)
 |
View Item |