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基于进化BP网络的含噪声点阵数字的识别
- 基于进化BP网络的含噪声点阵数字识别的源程序，希望对大家有所启示。-BP network based on the evolution of the digital matrix containing noise identification of the source, we hope to reveal.
第05章 联机字符识别
- 用的VC6编的可以识别联机数字，联机英文，及联机汉字-the VC6 series of the figures can be identified on-line, on-line English, and Chinese characters on-line
HandWritingRecognition
- 通过Java编写的手写数字识别器源代码，功能为能自主学习和调整以适应不同使用者，可以识别数字0-9-Java handwritten figures prepared by the reader source code, in order to function independently and learning to adjust to different users, identification number 0-9
recognize
- 用VC++6.0开发的一个手写字符识别系统，联机输入签名，可以识别数字，字母和汉字．-developed a handwriting character recognition system, on-line input signatures can identify numbers, letters and Chinese characters.
ANNRecognizer
- C#编写的BP神经网络模型的手写识别器，可以识别数字-C# prepared by the BP neural network model of the handwriting recognizer, you can identify the numbers
nnpractice
- 神经网络手写数字识别。配合美国MNIST标准手写数字字体库-Handwritten digit recognition neural network. With the U.S. standard of handwritten digital font library MNIST
Digit
- MATLAB 神经网络用于数字识别源程序，可以很好的识别数字，Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described
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
sourse
- BP神经元Matlab原程序,实现数字识别功能,可以运行,附有图片,可以下载运行-BPshenjingyuanwangluo,shixianshuzishibiegongneng,huanyingxiazai!
bp
- BP神经网络的手写数字识别 识别数字为0~-BP neural network recognition of handwritten numeral recognition numbers from 0 to 99
svm手写数字识别
- Python语言实现的SVM手写数字识别(SVM handwritten numeral recognition based on Python language)
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)
数字识别
- python的keras调用theano创建cnn识别minist手写数字(use keras of python to create cnn to recognize digit wrote by hand)
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
语音识别1
- 英文数字以及简单单词语音识别，用DTW算法实现，其中包含英文数字1-9的录音以及简单单词录音文件(Speech recognition of English numbers and words by DTW algorithm)
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)
第 08 章 基于知识库的手写体数字识别
- 通过深度学习，利用已有库文件提取手写体图信息。与数据库中的内容进行对比，来识别手写体字母。(Through in-depth learning, handwritten graphic information is extracted from existing library files. Compare with the content in the database to recognize handwritten letters.)
BP手写数字识别
- bp实现手写数字识别，识别率一般在97%以上，其中有添加噪声和不添加噪声的情况。(Recognition of Handwritten Numbers Based on BP)
MNIST_data
- MNIST数据集是一个手写体数据集，这个数据集由四部分组成，分别是一个训练图片集，一个训练标签集，一个测试图片集，一个测试标签集；我们可以看出这个其实并不是普通的文本文件或是图片文件，而是一个压缩文件，下载并解压出来，我们看到的是二进制文件。其中包含60000张手写体识别数字图片。(MNIST data set is a handwritten data set, which consists of four parts: a training picture set, a training l
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