DocumentCode
751048
Title
GANGLION-a fast field-programmable gate array implementation of a connectionist classifier
Author
Cox, Charles E. ; Blanz, W. Ekkehard
Author_Institution
IBM Almaden Res. Center, San Jose, CA, USA
Volume
27
Issue
3
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
288
Lastpage
299
Abstract
71 The architecture, implementation, and application of GANGLION, a totally digital connectionist classifier, are described. This fully interconnected feedforward net with one hidden layer is capable of generating 4.48 billion interconnection/s. The architecture is realized on a single 9U VME card and is built entirely from off-the-shelf components. The very high throughput of 20 million decision/s is achieved by making efficient use of field-programmable gate arrays. Specifically, the authors take advantage of the reprogrammability of the devices to automatically generate new custom hardware for each application of the classifier
Keywords
computerised pattern recognition; logic arrays; neural nets; 9U VME card; GANGLION; artificial neural networks; connectionist classifier; fast FPGA implementation; field-programmable gate array; fully interconnected feedforward net; hidden layer; Algorithm design and analysis; Character recognition; Classification algorithms; Field programmable gate arrays; Hardware; High speed optical techniques; Integrated circuit interconnections; Machine vision; Optical character recognition software; Throughput;
fLanguage
English
Journal_Title
Solid-State Circuits, IEEE Journal of
Publisher
ieee
ISSN
0018-9200
Type
jour
DOI
10.1109/4.121550
Filename
121550
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