搜索资源列表
BP-MATLAB.rar
- 一个基于BP神经网络的matlab程序可以实现对几种字体0-9的数字识别这个文件训练网络的压缩包,Based on BP neural network matlab program can achieve several fonts on the figure 0-9 to identify the document training network packet compression
ES203
- 使用matlab提供的bp网络工具实现手写数字识别。内涵大量测试用手写数字-Bp using matlab network tools available to achieve handwritten numeral recognition. Test a large number of handwritten digital content
shuzishibie4
- 这个一个基于MATLAB的手写体数字识别的程序，非常的好用-The MATLAB-based handwritten numeral recognition procedure, very easy to use
matlab
- 神经网络,数字识别,水印程序,matlab 里面有关于matlab数字识别的多份代码及资料， -Neural network, digital identification, watermark program, matlab inside matlab figures on the number of identification code and information
numberrecognize
- 这是一个用matlab实现0到9数字的识别，先生成每个数字的10个模板，再进行数字识别。-This is a matlab implementation to use the identification numbers 0 to 9, sir, as per figures 10 templates, and then for digital identification.
NN_num
- 神经网络的数字识别程序。神经网络的数字识别程序-Neural networks in digital identification procedures. Neural networks in digital identification procedures
thintwo
- 数字识别，区分图片0到9，共有一百幅图片，一部分用来训练，一部分用来测试-Digit recognition, the distinction between image 0 to 9, a total of one hundred pictures, some for training, in part to test
num
- 利用matlab采用基于Gabor特征的识别算法实现手写数字识别-Using matlab recognition based on Gabor feature recognition algorithm for handwritten numeral
classify
- 机器学习中关于分类的一段matlab程序，自己的课后大作业，是关于手写数字识别-Machine learning matlab on a classified program, their major job after school, on the handwritten numeral recognition
手写数字识别 matlab
- 手写数字识别 matlab，用于进行数字识别，是机器学习现在的热门话题
基于概率神经网络的手写体数字识别
- 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)
BP 0-9识别
- 本程序由matlab编写，以BP神经网络进行0~9十个数字的识别。(This procedure written by MATLAB, BP neural network for 0~9 ten digital identification)
数字识别
- 手写体识别，包括样本，基于传统神经网络编写，使用MATLAB神经网络工具箱(Handwriting Recognition)
least_square
- 利用最小二乘法实现手写体数字识别，采用mnist数据集(simple program using least-square)
BP神经网络数字识别（matlab2014a）
- 利用BP神经网络识别易拉罐底字符识别，运行前注意阅读算法说明和代码中相对路径的设置。(The BP neural network is used to identify the character recognition of the bottom of the can, and the pre operation attention to the reading algorithm and the setting of the relative path in the code.)
BPnetwork_code
- 手写体数字识别是模式识别中一个非常重要和活跃的研究领域，数字识别也不是一项孤立的技术，它所涉及的问题是模式识别的其他领域都无法回避的；应用上，作为一种信息处理手段，字符识别有广阔的应用背景和巨大的市场需求。因此，对数字识别的研究具有理论和应用的双重意义。(Handwritten numeral recognition is a very important and active research field in pattern recognition, digital recognition
Hand_num
- 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)
基于概率神经网络的手写体数字识别
- 基于概率神经网络的手写体数字识别，可用于课程设计(Handwritten digit recognition based on probabilistic neural network can be used for course design)
BP神经网络实现手写数字识别matlab实现
- 基于BP神经网络对几种字体0-9的数字识别(MATLAB)(Digital Recognition of Several Fonts 0-9 Based on BP Neural Network (MATLAB))
数字识别
- 可以实现图片中的数字识别，并将识别之后的数字写入文本文件中，数字可以式多行，可以长度不同才可以(But realize the number recognition in the picture, and write the recognized number into the text file.)