搜索资源列表
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手写识别是模式识别中研究得一个热点，这是一个手写识别得c程序-pattern recognition research in a hot, which is a handwriting recognition procedure in c
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脱机手写体识别Matlab源程序
包括特征提取、bayes分类器、K近邻分类及最近邻分类。
Testscr iptRecognition.m：测试代码
scr iptFeaExtract.m ：特征提取
KNearestEstimate.m ：K近邻估计
NearestEstimate.m : 最近邻估计
BayesTrain.m ：训练bayes分类器
Bayes.m ：测试bayes分类器
CrossValidate.m ：m交叉验证
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可以进行包括bp神经网络以及svm支撑向量机和其他多种方式的模式识别进行数字识别，可以导入白底黑字的图片，也可进行手写识别。-Bp neural network can be included, and svm support vector machines and other pattern recognition in many ways digital identification, black and white images can be imported, but also the
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这是一个很好的支持向量机工具箱，它可用于模式识别，图像识别，文字识别，语音识别和手写体识别等领域。-This is a very good support vector machine toolbox, it can be used for pattern recognition, image recognition, text recognition, speech recognition and handwriting recognition and other fields.
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模式识别手写数字分类程序，对0到9十个数字分类。-Handwriting recognition digital classification procedures, 0-9 to 10 the number of categories.
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用BP算法实现数字0-9手写体识别的源代码程序-BP algorithm with the number of 0-9 handwriting recognition program source code
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26个字母A-Z的手写识别系统，可以学习采样，可区别大小写。-26 letters AZ of the handwriting recognition system that can learn from sampling, may be different from case.
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分割中国字符的程序，对手写体识别的研究者有帮助！-
Chinese character segmentation procedures, handwriting recognition researchers help!
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基于bp神经网络的手写识别系统 matlab仿真-Bp neural network-based handwriting recognition system simulation matlab
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基于bp神经网络的java英文手写识别系统-Bp neural network, java-based handwriting recognition system
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用C#实现的基于神经网络的手写识别程序，还是很不错-Using C# implementation of handwriting recognition based on neural network program
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基于BP神经网络的手写数字识别系统，基于Matlab开发，实现手写输入板功能，特征提取，模型训练，手写识别等功能。详细使用方法在readme说明文档中。-Handwritten numeral recognition system based on BP neural network, developed based on Matlab, handwriting input board, feature extraction, model training, handwriting recogn
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基于人工神经网络的手写识别系统，在MATLAB环境下执行，供学习用，神经网络需要训练以后提高识别精度。-Handwriting recognition system based on artificial neural network in MATLAB environment for learning with neural network after training to improve recognition accuracy.
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一个基于模式识别的手写数字识别源码，支持学习，以适应不同人手写识别。里面有源码以及测试程序和图片,很适合用来学习-A handwritten numeral recognition based on pattern recognition source code, support learning in order to adapt to different handwriting recognition. There are source code and test procedures an
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斯坦福深度学习教程中关于softmax regression的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on softmax regression code, source code need to fill all places, all the full complement of the code, the handwriting recognitio
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斯坦福深度学习教程中关于Self-Taught的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on Self-Taught code, source code need to fill all places, all the full complement of the code, the handwriting recognition into the pat
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斯坦福深度学习教程中关于stacked autoencoder的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on stacked autoencoder code, source code need to fill all places, all the full complement of the code, the handwriting recognit
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斯坦福深度学习教程中关于linear decoder 的练习代码，源代码中需要补全的地方，全部把代码补完整，把手写体识别的数据库放到路径下，可以直接运行-Stanford deep learning tutorial exercises on linear decoder code, source code need to fill all places, all the full complement of the code, the handwriting recognition into
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一个基于BP神经网络的matlab手写识别程序，可识别0-9的数字，如果加点英文字母的图片，再改改参数，应该能识别英文。-Based on BP neural network matlab handwriting recognition program that identifies 0-9, if the English alphabet picture plus point, and then changed the parameters, should be able to identif
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基于tensorflow的手写数字识别，MLP和CNN对比(the compare between MLP and CNN in Handwriting recognition.)
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