搜索资源列表
ORCsystem
- 手写体数字识别系统,基于visual c++实现，可以准确识别。-Handwritten numeral recognition system based on c++, visual to achieve, can accurately identify.
Handwritten-digit-recognition
- 手写体数字识别matlab程序 含有100个手写字图片-Handwritten digit recognition
5
- 基于概率神经网络的手写体数字识别，matlab实现，非常好的程序-Handwritten numeral recognition, probabilistic neural network based on MATLAB, a very good program
program
- 手写体数字识别，BP神经网络在手写体数字识别中的应用-Handwritten Numeral Recognition
code
- 1.基于概率神经网络的手写体数字识别 2.径向基网络预测地下水位 3.BP神经网络实现图像压缩 4.Elman网络预测上证股市开盘价 5.基于自组织特征映射网络的亚洲足球水平聚类-1. Identify 2. RBF neural network forecasting of groundwater 3.BP neural network image compression 4.Elman network forecasting the stock market opened o
Handwritten-numeral-recognition
- 基于Bayes和神经网络的手写体数字识别程序(matlab)-Handwritten numeral recognition program based on Bayes and neural network(matlab)
xuexi
- 基于VQ构建的手写体数字识别系统，可以用于MINIST数据库训练。-MINIST images can be identified.
MINIST
- 对于MINIST数据库手写体数字识别的研究与识别系统的实现。-Research and recognition system of handwritten numeral recognition for MINIST .
hand_writing
- 用Java实现了手写体数字识别，采用了WEKA工具包-Using Java to achieve a handwritten digit recognition, using the WEKA Toolkit
shouxietishibie
- 基于概率神经网络的手写体数字识别，程序可以运行，会显示识别率百分比-Handwritten digit recognition based on probabilistic neural network, the program can run, it displays the percentage recognition rate
guishouxieti
- 手写体数字识别的一个小程序，有界面，适合初学者，有需要的朋友可以-Handwritten digit recognition is a small program that has the interface, suitable for beginners, there is a need friends can see
Handwriting-BP
- 手写体数字识别，BP神经网络，识别率96 -handwriting recognition,BP nural network
TrackStructure
- 手写体数字识别系统 可执行 c++ 输入图像应为bmp格式图片 可以在画图中手写数字然后保存放入程序中即可-c++
shouxietisuzishibie
- 用matlab实现的基于概率神经网络的手写体数字识别程序，这是一个概率神经网络的实际应用-Using matlab to achieve based on probabilistic neural network handwritten numeral recognition program, which is the practical application of a probabilistic neural network
gL
- 《MATLAB神经网络原理与实例精解》中chap13的例子 基于概率神经网络的手写体数字识别-" MATLAB network principles and examples of fine nerve Solutions" in the example chap13- Based Probabilistic Neural Network handwritten numeral recognition
handwritten-numeral-recognition
- 本案例描述了图像中手写阿拉伯数字的识别过程，对手写数字识别的基于统计的方法进行简要介绍和分析，并通过开发一个小型的手写体数字识别系统来进行实验。手写体数字识别系统需要实现手写数字图像的读取功能、特征提取功能、数字的模板特征库的建立功能及识别功能-This case describes the image recognition process handwritten Arabic numerals, a brief descr iption and analysis of the handwri
Handwriten
- 用java编写的手写体数字识别，采用knn方法，识别的训练和测试对象来自mnist数据库的数据，已经将解压后文件放进去了，算法包括文件的读取，测试部分还有识别算法。 -Written by java handwriting digital recognition, using knn method to identify the training and test objects the mnist data, has been extracted after the file into t
BPandBayeserandzjl
- 手写体数字识别的程序，用了三种方法，贝叶斯，最近邻和BP神经网络，用MATLAB编写的，算法简单易懂，结构清晰-Handwritten digital recognition procedures, using three methods, Bayesian, Nearest Neighbor and BP neural network, written in MATLAB, the algorithm is easy to understand, clear structure
simpleOCR
- OCR 数字识别 大写字母识别 自由手写体数字识别 离线 matlab平台 模式识别 识别数字0-9 识别大写字母(OCR digital recognition free handwritten off-line matlab platform to identify 0-9 numbers)
bpnn
- 用Python3实现BP神经网络对MNIST数字手写体识别，下载就能用(Using Python3 to implement BP neural network for MNIST digital handwriting recognition, download can be used)