An application oriented comparison of optimization and neural network based design techniques

Author

Talbot, N. L C ; Massara, R.E.

Author_Institution

Dept. of Electron. Syst. Eng., Essex Univ., Colchester, UK

fYear

1993

fDate

16-18 Aug 1993

Firstpage

261

Abstract

This paper investigates the use of Artificial Neural Networks compared to conventional optimization techniques in the area, of VLSI placement. Two different placement methods are considered, and, although initially it seems that the conventional methods described are faster, when more complex layouts with no fixed points are encountered, the self-organisation network produces better results

Keywords

VLSI; circuit layout CAD; circuit optimisation; integrated circuit layout; self-organising feature maps; VLSI placement; application oriented comparison; artificial neural networks; complex layouts; neural network based design techniques; optimization; placement methods; self-organisation network; Artificial neural networks; Design engineering; Design optimization; Eigenvalues and eigenfunctions; Equations; Neural networks; Neurons; Systems engineering and theory; Very large scale integration; Wire;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on

Conference_Location

Detroit, MI

Print_ISBN

0-7803-1760-2

Type

conf

DOI

10.1109/MWSCAS.1993.343080

Filename

343080

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2263579