In this paper we give a kind of handwritten digits recognition method based on BP neural network.
本文主要研究BP神经网络在脱机手写体数字识别方面的应用。
Most of the neural network handwritten digits recognition systems adopt a net - work with single structure.
用神经网络识别手写体数字，大多数采用的是单个的神经网络结构。
Finally coarse classification and precise classification are separately carried out in handwritten digits recognition.
最后在对手写数字进行识别时，先进行粗分类再进行细分类。
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