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ex3
- 基于BP神经网络识别字符. BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
zifushibie
- Matlab的BP网络字符识别 只用理想样本训练了，大家用的时候可以用加噪后的再进行训练即可 -BP network character recognition Matlab' s the ideal training samples only, and everyone can use when adding noise to the training again after the
BP0411
- 神经网络字符识别程序，可以用来做汉字，英文，数字等字符的识别，需要先训练样本。-ANN for letter recognize，used in Chinese characters,letters and numbers recognization.
Character-recognition-
- 基于BP神经网络的字符识别,不涉及从照片中定位车牌，分割字符等前期处理，只对含有单独数字的图片样本进行识别-Character recognition based on BP neural network does not involve locate the license plates from photos, split characters such as pre-treatment, only to be identified with separate digital picture
mathcthealphabet
- 一种字符识别算法的matlab实现，带有样本。识别精度较高。-a algorithm of match the alphabet
MNIST-PCA
- 使用PCA算法分析MNIST 手写字符训练样本。 结果分别生成以2、5、10个PCA主成分的重构图像以及10个主成分特征向量的对应图像。(Implement PCA algorithm on MNIST dataset and calculate the class PCA on each digit separately.)
车牌汉字样本
- 车牌识别中汉字训练样本，包含31个省份，每个字符几十到几百个样本。(License plate recognition Chinese character training samples, including 31 provinces, each character tens to hundreds of samples.)