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。
The result of experiment shows high recognition rate, which indicates that the method can effectively classify handwritten digits and be put into practical use.
实验证明该方法有很高的识别率，能够有效地进行手写数字的分类，可以满足实际应用。
This paper discusses how to design and develop a system for recognition of handwritten digits.
本文论述并设计实现了一个手写体数字识别系统。
This paper discusses how to design and develop a system for recognition of handwritten digits.
本文论述并设计实现了一个手写体数字识别系统。
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