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《Journal of Jiangnan University(Natural Science Edition)》 2009-05
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Handwritten Chinese Character Recognition Based on the Improved Support Vector Machine

GONG Ning-sheng,WEI Hao(College of Electronics and Information Engineering,Nanjing University of Technology,Nanjing 210009,China)  
Successive over relaxation iteration algorithm is one of classical SVM algorithms.In SOR algorithm,if the relaxation factor is a constant,convergent speed will be relatively slow in many conditions.The paper introduces a neural network with "transcendental knowledge" to control relaxation factor to get faster convergent speed.The experiment result shows the SOR iteration method using this model can effectively advance the convergent speed.In the handwritten Chinese character recognition test,the improved algorithm cuts down the training time of SVM.
【CateGory Index】: TP391.43
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