Title :
A 9×9 multi-chip board for cellular neural networks
Author :
Salerno, Mario ; Sargeni, Fausto ; Bonaiuto, Vincenzo
Author_Institution :
Dept. of Electron. Eng., Rome Univ., Italy
Abstract :
Cellular neural networks represent one of the most interesting neural network class for VLSI implementations. Their main feature is the local interconnections among cells that is really appealing for hardware realizations. This paper presents a multichip 9×9 CNN board which is made up of nine 3×3 DPCNN chips. This 9×9 CNN board is fully controllable by a Personal Computer. A proper software program is presented which enables the selection of all the entries of the templates, the input and initial voltage, and the steady-state voltage acquisitions
Keywords :
cellular neural nets; microcomputer applications; multichip modules; neural chips; neural net architecture; 2D array; cellular neural networks; digitally programmable chip; local interconnections; multichip board; software program; voltage acquisitions; Cellular neural networks; Hardware; Microcomputers; Neural networks; Prototypes; Registers; Signal processing; Testing; Very large scale integration; Voltage;
Conference_Titel :
Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on
Conference_Location :
Seville
Print_ISBN :
0-7803-3261-X
DOI :
10.1109/CNNA.1996.566571
