Title :
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
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;
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
DOI :
10.1109/CNNA.2000.876832
