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bprecognition

于 2009-12-09 发布 文件大小:103KB
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  采用神经网络实现手写识别的一种方法,建立Bp神经网络,采用快速训练方法,可快速完成一类相关手写字体的模式识别,识别率较高,当字体变化较大识别率降低时,可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别,但也存在识别速度较慢,有时训练不收敛等缺点(Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and can be related to the completion of a class of handwriting pattern recognition, recognition rate higher recognition rate when the font changed greatly reduced, they can re- Training has strong adaptability. Experiments confirmed that this method achieved a better handwritten character recognition, but there are also identified slow, and sometimes non-convergence of the training deficiencies)

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