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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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手写分类识别，是个很好的程序，希望大家能用上-Handwriting classification and recognition, is a very good program, hope everyone can be on the
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采用神经网络对手写字体的基本笔画（横竖撇捺折）进行分类识别-For classification using neural network handwriting strokes (if they had to write flick off)
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支持向量机（SVM）是在统计学习理论的基础上发展起来的新一代学习算法，该算法在文本分类、手写识别、图像分类、生物信息学等领域中获得了较好的应用。本书是SVM的权威参考书。-Support Vector Machine (SVM) is a new learning algorithm developed on the basis of statistical learning theory, the algorithm to obtain a better application in the
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堆栈自编码，通过两个稀疏自编码的堆叠和softmax分类模型，实现手写体的分类。-Stack self-encoding, since encoding by two sparse stack and softmax classification model to classify handwriting.
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亲自试验出来的对于手写体的LDA分类，最后效果是73.13 ，大家想对LDA了解更深的话可以看看！是matlab版的。
-Personally tested out for LDA classification handwriting, the last effect is 73.13 ,we want a deeper understanding of LDA, then you can see! Is matlab version.
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基于三层神经网络的手写字数据库分类。正确率可达96 ，和适合新手入门-Based on three layers neural network classification of handwriting Accuracy can reach 96 , and is suitable for beginners entry
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实施KNN算法，并使用KNN改进约会网站，将KNN运用在手写识别系统。(Implement KNN algorithm, and use KNN to improve dating website, use KNN in handwriting recognition system.)
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