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1下载：
神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
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MATLAB 神经网络用于数字识别源程序，可以很好的识别数字，Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described
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基于BP神经网络的手写体数字识别程序，使用matlab开发-BP neural network based on handwritten digit recognition program, developed using matlab
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基于神经网络的手写体数字识别，它是用matlab实现的，其中用3种不同的神经的网络方法实现了手写体数字的识别，非常利于初学者的学习和交流。-Handwritten digit recognition based on neural networks, which is achieved using matlab, in which three different neural network to achieve the recognition of handwritten digits, is
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《MATLAB神经网络30个案例分析》中的第9个例子，案例9 离散Hopfield神经网络的联想记忆—数字识别。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 9, 9 cases of discrete Hopfield neural network associative memory- digit recognition. Hope to have certain help to everybo
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手写数字的识别的matlab实现，运用基本的图像处理和BP神经网络来实现，程序的使用方法请参阅 readme.txt-Handwritten digit recognition matlab realize, the use of basic image processing and BP neural network to achieve the program' s usage, please refer to the readme.txt
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应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂-Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the tr
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图形识别，基于Hopfield神经网络的联想记忆——数字识别MATLAB程序，有详细注释。-Based on Hopfield neural network pattern recognition, associative memory- digit recognition MATLAB procedures, with detailed comments.
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用Matlab神经网络实现的字符识别。可借鉴于数字识别等。-Matlab neural network of character recognition.Can be for reference in digit recognition, etc.
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sample code for a digit recognition system with mid-range precision in matlab
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BP神经网络解决手写数字识别问题 matlab源代码(BP neural network solves the matlab source code for handwritten digit recognition problem)
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Digital Recognition Neural network by matlab
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只含一层卷积层的CNN也可以将手写数字识别的正确率达到99%(The CNN with only one convolutional layer can also get the correct rate of handwritten digit recognition up to 99%.)
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本课题为基于MATLAB的BP神经网络手写数字识别系统。带有GUI人机交互式界面。读入测试图片，通过截取某个数字，进行预处理，经过bp网络训练，得出识别的结果。可经过二次改造成识别中文汉字，英文字符等课题。(This project is based on Matlab bp neural network Handwritten digit recognition system. With GUI human-computer interactive interface. Read in the
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