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神经网络进行手写数字识别：
本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值.
带有图形界面-neural network handwritten numeral recognition : this program is the BP algorithm Demonstration Program, The Levenberg-Marquardt algorithm is practical value. with a graphical in
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基于神经网络的手写数字识别系统，用delphi编写的，很有用哦~~~~~~~,Based on neural network handwritten numeral recognition system, prepared by delphi useful ~~~~~~~ Oh
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模板匹配之手写数字识别系统,基于DELPHI 7.0-Template matching of handwritten numeral recognition systems, based on DELPHI 7.0
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用BP神经网络进行手写数字的识别,特征提取是基于统计模式识别的方法-BP neural network with the handwritten numeral recognition, feature extraction is based on statistical pattern recognition approach
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为了实现对手写字体的识别，运用了人工智能的分层神经网络思想，对识别的字体通过训练学习，达到识别手写字体的功能。-to realize the recognition of handwritten font, using hierarchical neural network artificial intelligence, to identify fonts through training and learning, to identify the handwriting function.
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使用k-近邻算法改进约会网站的配对算法和使用k-近邻算法的手写数字识别系统-Use k- nearest neighbor matching algorithm to improve the dating sites and use of k- nearest neighbor handwritten numeral recognition system
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bayes和神经网络的手写体数字识别程序（matlab）(bayes and neural network handwritten numeral recognition program (matlab))
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