搜索资源列表
PatternRecognition
- 模式识别手写数字图像识别（最小错误率Bayes算法）-digital image Least error Bayes
Bayes
- 概率统计的bayes方法识别手写数字，算法简单，内附测试图-Bayes methods of probability and statistics to identify digital
BHanndwrittenP
- BP神经网络，是运用人工智能的方法，训练权值，建立模式识别的模型。本程序源码，使用三层神经网络，，对隐层的节点个数使用经验公式，对其他的参数设置也进行了优化，实现了手写数字的识别， 可直接使用。 -BP neural network, the use of artificial intelligence methods, training weights to establish the model of pattern recognition. The program source cod
shuzishibie
- 用QT写界面，模式识别课程设计作业。能正常识别0-9的手写数字，有最小距离识别，贝叶斯识别等-distinguish numbers from 0~9.Use QT to design the GUI.
CANeuralNetwoU
- CUDA应用：在CUDA上实现神神经网络，识别手写数字 -CUDA applications: the CUDA God neural network to recognize handwritten digits
digital-recognition
- 模式识别，可以识别已有的数字图像，也可以手写输入识别。-Pattern recognition, can be identified to a conventional digital image can also handwriting recognition.
fenlei
- 在VC++6.0环境下运行.手写数字的分类识别，并有详细的程序使用方法。分别采用模板匹配分类器，Bayes分类器，线性函数分类法，非线性分类，神经网络分类器进行识别，功能强大，还可以对比各种算法的优劣。-VC++6.0 environment run. Classification and recognition of handwritten digits, and a detailed program to use. Template matching classifier Bayes cla
Digital-identification
- 程序能对简单的手写数字进行识别，识别方法先进，识别率高-Program simple handwritten numeral recognition, state-of-the-art identification methods, a high recognition rate
DSPLIT
- 图像模式识别——vc++技术实现这本书的手写数字源程序代码-The handwritten numeral source code
number_recognition_Fisher
- 利用Fisher线性判别式，进行手写数字的识别。-Fisher linear discriminant handwritten numeral recognition.
handwriting_recognize
- 能够识别手写数字，手写字符，识别率达到90 以上，很好用的-Able to recognize handwritten numbers, handwritten character recognition rate of 90 or more, the good
digital-recognize
- 基于特征的数字识别，可以识别手写数字，并有一定界面-Feature-based digital identification，Can recognize handwritten digits ,and a certain interface.
123MNISTTrain
- 手写数字训练识别，基于MNIST库进行训练识别，6W个训练样本，识别率95 以上-Handwritten numeral recognition training, training on MNIST library identification, 6W training samples, the recognition rate of 95 or more
main
- 利用opencv识别手写数字的分类，并识别，利用了mnist数据库-Using opencv recognize handwritten digits classification and identification, the use of mnist database
dataset_618531
- 包含1593手写体数字0 ~ 9。从semeion.data通过MATLAB semeion.mat，可以直接使用。原semeion.names为自述。M。 Mat：1593×266 每一个行为样本，其中256是手写数字的16×16，在10栏的数字识别标签，例如：如果第一行是1，然后是0号，其次是1，1。等等。 在Matlab的小例子，可以得出每一个数字，一个更好的理解。你想翻转和旋转的是写作的习惯相一致的图像。-Contains 1593 handwritten digit 0~9
DlgClassify
- MFC实现手写数字的识别，包含Beyes分类，线性函数分类，神经网络分类等各种算法的实现-MFC to achieve recognition of handwritten digits, including Beyes classification to achieve a linear function of classification, neural network classification of various algorithms
ssss
- 较实用的识别数字符号的实例，神经网络训练，识别手写数字-Identification of a practical instance of digital symbol, neural network training and recognition of handwritten Numbers
spline-function-neural-network
- 基于样条权函数神经网络的手写系统实现。验证了样条权函数神经系统在手写数字识别中的应用价值。-Function neural network system to achieve spline right hand. Verify that the spline weight function of the nervous system applications in handwritten digits recognition.
recognise
- 识别手写数字的人工神经网络的发展神经网络概念，如神经元，层，重量和反向传播等概念及c++实现在文中给出-This article chronicles the development of an artificial neural network designed to recognize handwritten digits. Although some theory of neural networks is given here, it would be better if you alr
shouxiezifu
- 以MATLAB作为系统开发软件，利用图形用户界面（GUI）设计一手写数字识别系统，实现26个手写英文字符的识别功能-Handwritten character recognition