Publication - Applying Logic Neural Networks to Hand-written Character Recognition Tasks

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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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