搜索资源列表
chardiv
- 利用BP神经网络进行字符识别的系统源码,能进行有效数字字符识别。-BP neural network Character Recognition system source code, can be effective digital character recognition.
Digit
- MATLAB 神经网络用于数字识别源程序-MATLAB neural network for digital identification of the source
GPNN
- 遗传算法优化小波神经网络MATLAB 神经网络用于数字识别源程序 -genetic algorithm optimization wavelet neural network MATLAB neural network for digital identification of the source
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
数字卡片0~9奇偶识别
- matlab应用于神经网络:数字卡片0~9奇偶识别-matlab neural network applications: Digital Card 0 ~ 9 parity Recognition
Neural-Network-Character-Recognition
- MATLAB 神经网络用于英文字母图像和数字的识别源程序-MATLAB neural network for images and the number of letters of the alphabet to identify the source
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
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
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)
语音识别最新
- 用matlab仿真神经网络语音识别系统,里面用的是数字0-9作为训练模板,神经网络匹配模式(use the matlab to simulate word recognition system with neural network)
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)
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)
NeuralNetworkDigitRecognition
- 基于神经网络的数字识别,对数字进行神经网络训练,然后通过神经网络进行识别(neural network recognition)
Hopfield
- 应用于数字识别的离散Hopfield神经网络的联想记忆(Associative memory of discrete Hopfield neural network applied to digit recognition)
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))
MATLAB手写数字汉字识别[写字板,神经网络]
- 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
