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神经网络实现手写数字识别

于 2022-03-06 发布 文件大小:44.16 kB
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使用BP神经网络实现了手写数字的识别,测试集有{1,2,3,4,5,6,7,8,9,0}这几个数字的手写体各5000个。然后使用PCA算法进行图片降维,提取能够表示数字之间区别的特征。最后通过BP神经网络对训练集进行训练,得出模型。最后进行测试,获得了不错的效果。

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