DocumentCode :
2324653
Title :
A preprogrammed artificial neural network architecture in signal processing
Author :
Bloomer, J. ; Frank, P. ; Engeler, W.
Author_Institution :
GE Corp. Res. & Dev., Schenectady, NY, USA
fYear :
1990
fDate :
13-16 May 1990
Abstract :
A mask-programmable artificial neural network (ANN) chip architecture, the tile-based ANN chip assembly, test and simulation results, and use it in signal processing systems are presented. The ANN chip architecture itself is a critical portion of the development. It is presented as a tool, in an abstract fashion, and the system design it makes possible and the process by which algorithms are converted to silicon (chip floorplan, tiling, etc.) are emphasized
Keywords :
computerised signal processing; neural nets; parallel architectures; chip floorplan; mask-programmable; preprogrammed artificial neural network architecture; signal processing; system design; tile-based ANN chip assembly; Adaptive systems; Artificial neural networks; Capacitors; Clocks; Convolution; Intelligent networks; Signal processing; Signal processing algorithms; Silicon; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Custom Integrated Circuits Conference, 1990., Proceedings of the IEEE 1990
Conference_Location :
Boston, MA
Type :
conf
DOI :
10.1109/CICC.1990.124806
Filename :
124806
Link To Document :
بازگشت