DocumentCode
3600448
Title
Low power VLSI neuron cells for artificial neural networks
Author
Wawryn, Krzysztof ; Strzeszewski, Bogdan
Author_Institution
Inst. of Electron., Tech. Univ. Koszalin, Poland
Volume
3
fYear
1996
Firstpage
372
Abstract
In this paper novel AB class neuron structures that set foundations for low power VLSI neural networks and other applications are proposed. The analog AB class building blocks for sigmoidal characteristic neuron cells and programmable weight synaptic connections are presented and discussed. A qualitative comparison is made between standard and proposed neuron cells
Keywords
VLSI; neural chips; analog AB class building blocks; artificial neural network; low power VLSI neuron cells; programmable weight synaptic connections; sigmoidal characteristics; Artificial neural networks; Cellular neural networks; Circuit simulation; Computer networks; Data processing; Degradation; Energy consumption; Integrated circuit interconnections; Neurons; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on
Print_ISBN
0-7803-3073-0
Type
conf
DOI
10.1109/ISCAS.1996.541611
Filename
541611
Link To Document