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采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
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基于MATLAB并利用神经网络实现对手写数字0-9十个数字的识别代码-based on MATLAB and recognition of handwritten digits 0-9 it is mean to design a simple handwritten numeral recognition system using neural network.
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一个基于神经网络的手写体数字识别的matlab程序，可以自行进行神经网络训练并识别给出相应的结果-A neural network-based handwritten numeral recognition matlab program, the neural network can be trained to identify themselves and give the corresponding results
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基于概率神经网络的手写体数字识别，matlab实现，非常好的程序-Handwritten numeral recognition, probabilistic neural network based on MATLAB, a very good program
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《MATLAB神经网络原理与实例精解》中chap13的例子 基于概率神经网络的手写体数字识别-" MATLAB network principles and examples of fine nerve Solutions" in the example chap13- Based Probabilistic Neural Network handwritten numeral recognition
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基于概率神经网络的手写数字识别，利用概率神经网络识别1-9的手写数字，matlab程序(Handwritten numeral recognition based on probabilistic neural network)
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Andrew Ng Cousera 机器学习课程神经网络手写字符识别，源代码以及说明文档(Andrew Ng Cousera 's Machine learning courses, Neural Network handwritten character recognition, source code and documentation)
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基于神经网络及GUI触摸板的手写数字识别，基本的机器学习例子(Handwritten numerals recognition based on neural network and GUI touch board, basic machine learning examples)
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该课题为基于MATLAB bp神经网络的手写汉字识别系统。可以利用鼠标手写中文汉字进行训练，测试，可以识别任何字体，只需要到GUI界面面板更换即可。在GUI界面就可以随写随训练中文，不需要到后台手动更换文字训练，方便快捷上档次。(This project is a handwritten Chinese character recognition system based on Matlab bp neural network. You can use the mouse to write Ch
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How to run the program
1. open MATLAB goto the project's root path
2. run main.m
3. in the command window it will show the accuracy calculated by testing data set
4. press any key in the command window to show the GUI for this project
5. click t
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