SCNN 2000. I. Basic structure and features of the simulation system for cellular neural networks

Author

Loncar, A. ; Kunz, R. ; Tetzlaff, R.

Author_Institution

Inst. fur Angewandte Phys., Frankfurt Univ., Germany

fYear

2000

fDate

2000

Firstpage

123

Lastpage

128

Abstract

In this paper the basic structure and features of SCNN 2000, a universal simulation system for cellular neural networks (CNN) is presented. Since the first presentation of SCNN (1996) the structure of the simulation system has been changed to achieve more flexibility in simulating CNN. Especially, a wider class of training algorithms including new optimization methods have been implemented. SCNN 2000 also supports several kinds of CNN hardware as mathematical coprocessors. Additionally, a new SCNN control system has been developed, including a new graphical user interface and an integrated SCNN shell to allow a more convenient working with SCNN 2000

Keywords

cellular neural nets; digital simulation; graphical user interfaces; learning (artificial intelligence); optimisation; SCNN 2000; cellular neural networks; graphical user interface; learning algorithms; optimization; universal simulation system; Boundary conditions; Cellular networks; Cellular neural networks; Control system synthesis; Control systems; Ear; Electronic mail; Interpolation; Neural networks; Spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

Conference_Location

Catania

Print_ISBN

0-7803-6344-2

Type

conf

DOI

10.1109/CNNA.2000.876832

Filename

876832