✦ LIBER ✦
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.