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《Pattern Recognition and Artificial Intelligence》 1994-01
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Hong Qin He Zhenya (Radio Eng. Dept., Southeast Uni., Nanjing 210018)  
This article studies a new technique for recognition of handwritten numerals. We extract pattern features first and then train a neural network classifier to recognize handwritten numerals. The neural network used in our experiment is a three layer network with one Gaussian hidden layer, which can be self-configuring during the learning period. Experiments shows a good result with our method. The network can be applied to other applications.
【Fund】: 国家攀登计划认知科学(神经网络)重大关键项目的资助
【CateGory Index】: TP183
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