搜索资源列表
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
digitrecognizesystembasedbp
- 给出了基于神经网络的手写体数字的识别程序，并对BP神经网络进行了一些改进-Are given based on neural network Handwritten digit identification procedures, and BP neural networks have been some improvements
shouxie
- 手写数字的识别系统，通过实际开发后，得到更多的识别精度!-Handwritten digit recognition system, through the actual development, the identification accuracy more!
basedNeuralNetworkhandrittennumeralrecognitiontheu
- 基于BP神经网络的手写体数字识别程序，使用matlab开发-BP neural network based on handwritten digit recognition program, developed using matlab
bp
- 基于神经网络的手写数字识别技术研究 论文详解-Neural network-based Handwritten Digit Recognition Technology
Handwrittendigitrecognition
- Handwritten digit recognition algorithm code with matlab.
BP
- 本程序经过本人的调试运行，能够实现对手写数字的识别，成功率达 80-After I debug this program to run, to realize the handwritten digit recognition, the success rate of 80
ann
- 用vc++编写的关于手写数字的识别的神经网络程序，能够识别，且识别率达 80-Prepared using vc++ handwritten digit recognition on the neural network program that can identify, and recognition rate 80
charGUI
- handwritten digit recognition
svm_number
- libsvm用于手写数字的识别，数据源自uci，可以到uci数据集网站直接下载semeion.data数据，放在文件夹中可以直接调用-The libsvm used for handwritten digit recognition, data from uci . You can go to uci datasets sites directly download semeion.data. The data can be called directly after putting into
LeNet
- 用于书写体数字识别的卷积神经网络，VC++源码，仅供学习参考-Convolutional Neural Networks in Handwritten Digit Recognition Visual C++ implemented.
finalWork
- 用WEKA实现手写体数字识别，这是自己编写的，如果有错误请多多包涵-WEKA achieve handwritten digit recognition, which I have written, if there is an error, please forgive me
chapter14
- 利用计算机自动识别字符的技术，是模式识别应用的一个重要领域。人们在生产和生活中，要处理大量的文字、报表和文本。为了减轻人们的劳动，提高处理效率，50年代开始探讨一般文字识别方法，并研制出光学字符识别器。60年代出现了采用磁性墨水和特殊字体的实用机器。60年代后期，出现了多种字体和手写体文字识别机，其识别精度和机器性能都基本上能满足要求。如用于信函分拣的手写体数字识别机和印刷体英文数字识别机。70年代主要研究文字识别的基本理论和研制高性能的文字识别机，并着重于汉字识别的研究。-The use of
Digits-Recgnition-Based-on-SVM
- 介绍了基于SVM的手写体数字识别，是一篇不错的期刊文章-To introduce handwritten digit recognition based on SVM is a good journal articles
NumberHandwritting
- 基于神经网络的手写体数字识别，它是用matlab实现的，其中用3种不同的神经的网络方法实现了手写体数字的识别，非常利于初学者的学习和交流。-Handwritten digit recognition based on neural networks, which is achieved using matlab, in which three different neural network to achieve the recognition of handwritten digits, is
program
- 手写数字的识别的matlab实现，运用基本的图像处理和BP神经网络来实现，程序的使用方法请参阅 readme.txt-Handwritten digit recognition matlab realize, the use of basic image processing and BP neural network to achieve the program' s usage, please refer to the readme.txt
KNN_2011211651
- 应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂-Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the tr
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
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