PROFILE
Applying Logic Neural Networks to Hand-written Character Recognition Tasks
Research Area:
Other topics in Computer Science
Type:
In Proceedings
| Year: | 1996 | ||||
|---|---|---|---|---|---|
| Authors: | George Tambouratzis | ||||
| Book title: | Proceedings of the ICTAI'96 Conference | ||||
| Pages: | 269-272 | ||||
| Address: | Toulouse, France | ||||
| Date: | 16-19 July | ||||
| ISBN: | 0-8186-7686-7 | ||||
| DOI: | 10.1109/TAI.1996.560461 | ||||
| Abstract: | This article discusses the implementation of a hand-written character recognition task using neural networks. Two logic neural networks-the WISARD (I. Aleksander and H. Morton, 1990) and the SOLNN (G. Tambouratzis and T.J. Stonham, 1993)-are compared on the basis of their classification accuracy. The results obtained are compared to these of other researchers, to objectively assess the success of the neural networks in classifying the dataset. |
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