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A coded block adaptive neural network system with a radical-partitioned structure for large-volume Chinese characters recognition

✍ Scribed by Mark W. Mao; James B. Kuo


Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
561 KB
Volume
5
Category
Article
ISSN
0893-6080

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✦ Synopsis


This paper presents a coded block adaptive neural network s)wlem using a radical-partitioned structure /or large-volume Chinese characters recognition. Using the coded hh~ck adaptive neural network system with a radical-partitioned structure, l,O00 fi'equentO'-used Chinese characters have been succes,~fully trained in 139.2 hours ttsing an 18 MIPs compttter According to the simtdation results, the coded block system with a radical-partitioned structure provides an acceptable learning time. a good rec~L¢nition rate, and an ~:~,'cellent ~:¥pansion capability./br large-vohmw Chinese characters rec~Lgnition.