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