DocumentCode
972573
Title
Multilayer parallel distributed pattern recognition system model using sparse RAM nets
Author
Guoqing, Yang ; Songcan, Chen ; Jun, Lu
Author_Institution
Dept. of Comput. Sci. & Eng., Nanjing Aeronaut. Inst., China
Volume
139
Issue
2
fYear
1992
fDate
3/1/1992 12:00:00 AM
Firstpage
144
Lastpage
146
Abstract
The authors propose a novel multilayer parallel distributed pattern recognition system model in which the n-tuple principle in WISARD is followed and ordinary RAM nets are replaced by sparse RAM. The new system considers pattern correlation and is able to optimise n-tuple size a larger range through reduction of cost. Preliminary experiments with handwritten Chinese character recognition have confirmed the feasibility of the model.
Keywords
character recognition; content-addressable storage; neural nets; random-access storage; WISARD; associative memory; cost reduction; handwritten Chinese character recognition; multilayer parallel distributed pattern recognition system; n-tuple principle; n-tuple size; pattern correlation; sparse RAM nets;
fLanguage
English
Journal_Title
Computers and Digital Techniques, IEE Proceedings E
Publisher
iet
ISSN
0143-7062
Type
jour
Filename
129254
Link To Document