By analyzing the theory of neural network integration, I developed a multi-level neural network model for recognition handwritten Chinese characters.
通过对神经网络集成的理论分析，提出了一种多级神经网络结构的手写体汉字识别模型。
Finallly taking advantage of the trained network model as a classifier, we implemented a multi-level strategy Chinese character recognition system.
并利用训练后得到的网络作为分类器设计并实现了一种多级策略的汉字识别系统。
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