搜索资源列表
数字识别程序（BP神经网络）
- 数字识别程序（BP神经网络）
DigitalRec
- 手写体数字识别的VC实现 使用神经网络算法对手写体数字进行识别，训练后识别率可达90％左右。-Handwritten Digit Recognition of the VC to achieve the use of neural network algorithm for handwritten numeral recognition, training, recognition rate can reach about 90.
sj
- MATLAB 神经网络用于数字识别源程序-MATLAB neural network for digital identification of the source code
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
gskmadechar
- 基于神经网络的字母和数字识别，采用matlab编写带有gui界面-Based on neural network identification letters and numbers used to prepare with a gui interface matlab
BP神经网络实现手写数字识别matlab实现
- 可以实现手写数字识别，值得学习，很好的源代码。(Handwritten digital books can be realized)
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)
手写体数字识别系统
- 用神经网络准确实现手写体数字的识别，很实用(Neural network to achieve handwritten numeral recognition, very practical)
neuralnetwork-sample
- 由java编写的，具有gui界面的，手写数字识别神经网络示例(Written by Java, with GUI interface, handwritten numeral recognition neural network examples)
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神经网络实现手写数字识别matlab实现
- BP神经网络实现手写数字识别matlab实现(Matlab implementation of handwritten digit recognition based on BP neural network)
手写数字识别系统
- 基于神经网络识别的手写数字识别系统，有gui界面(Handwritten digital recognition system based on neural network recognition)
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)
bayes和神经网络的手写体数字识别程序（matlab）
- bayes和神经网络的手写体数字识别程序（matlab）(bayes and neural network handwritten numeral recognition program (matlab))
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)
CNN卷积神经网络数字识别
- 关于神经网络的例子以及pdf，很详细，入门推荐。(About example of neural network and pdf, it is very detailed.)