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基于vc的神经网络数字识别系统源码
- 运行里面的stdafx.cpp文件就可之间运行系统，在进行数字识别前要对图片进行预处理。
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
TextAdjust
- 本系统是一个基于神经网络的文字识别系统，通过对图片的一系列处理，最后识别得出图片中显示的数字。-This system is a neural network based character recognition system, through a series of picture deal, and finally come to identify the figures shown in the picture.
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
recognitionprogram
- BP神经网络数字字符识别程序,可以识别各种手写字，识别率还不是很好-BP neural network digital character recognition program that can identify a variety of handwritten word recognition rate is not very good
hopfield
- 离散二值神经网络，作为一种新的人工神经网络，是一种具有联想记忆功能的网络，用于数字识别。-Discrete binary neural networks, as a new artificial neural network is a kind of associative memory function of the network, for digital identification.
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)
手写数字识别
- 贝叶斯，神经网络等不同算法下的手写数字识别比较并建立了GUI界面可视化(Bias, neural network and other algorithms under the handwritten numeral recognition, comparison and establishment of the GUI interface visualization)
神经网络代码
- 应用神经网络进行数字识别，使用随机梯度算法和MNIST训练数据(Neural networks are used for digital identification, and data are trained using random gradient algorithm and MNIST)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像，三层的误差反馈神经网络，可输出准确率，数据集为60000条数据，每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
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Matlab程序(Handwritten digital recognition Matlab program based on probabilistic neural network)
基于BP神经网络的手写数字识别
- 这是一份基于BP神经网络的手写数字识别文件，包含了源代码、最优权重向量、以及带标记的训练集。代码中给出了详细的注释，对于理解神经网络的原理有很好的帮助。
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.)
BP神经网络解决手写数字识别问题-matlab源代码
- 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)
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)
手写数字识别
- 运用卷积神经网络进行特征提取，然后进行分类(Using convolution neural network to extract features and classify them)
MATLAB神经网络手写数字识别（GUI，论文）
- 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