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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
som-shuzishibie
- 基于自组织神经网络（自组织特征映射）的手写数字识别原代码-Based on self-organizing neural network (SOFM) Handwritten Digit Recognition of the original code
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
sxszsb.Java
- Java写的手写数字识别软件，简单实现对手写数字的识别。-Java software is written in handwriting digit recognition, simple implementation of handwritten digits recognition.
scriptnumber
- 手写体数字的预处理、特征提取以及识别，功能较为全面-Handwritten digit preprocessing, feature extraction and recognition, function more comprehensive
imagerecognition.tar.bz2
- 对手写数字的图像自动识别程序,含预处理, 学习与用于测试的样本-Handwritten digit image recognition process, including preprocessing, learning and testing samples for
Three-kinds-of-template-matching-
- 3种模板匹配法实现的手写数字识别示例,包括手写数字识别之Fisher线性判别、手写数字识别之模板匹配法、细化算法-Three kinds of template matching to achieve the handwritten numeral recognition examples, including handwritten digit recognition of the Fisher linear discriminant, handwritten numeral recognit
demo
- 主要是用于对手写数字的识别，单个数字的识别，之前要先通过训练的。-Mainly used for handwritten digit recognition, individual identification number, before the first through the training.
Digit
- Java实现的手写数字识别工具，基于人工神经网络和机器学习原理。先读入一个文件进行训练，然后可以识别相同格式文件中的手写数字。目录下的PNT文件即为手写数字的数据文件。-Java implementation of the handwritten numeral recognition tool, based on artificial neural networks and machine learning principles. To read a file into training, t
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.
HDigitalRReca
- 手写体数字识别的Visual C实现使用神经网络算算法对手写体数字进行识别，训练后识别率可达90％左右。 -Handwritten numeral recognition, Visual C Neural Network Algorithm for recognition of handwritten digit recognition rate after training up to about 90 .
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
FeatureSubsetSelection
- 基于BP神经网络的手写体数字识别中用到的特征提取工具。-Extraction tool based on the characteristics used in the BP neural network handwritten digit recognition.
recognize
- 采用C++语言编写的基于BP神经网络的手写体数字识别程序，使用方式为通过命令提示符向main函数传递待识别的图像的绝对路径。-Using C++ language through the command prompt is passed to the main function to be identified image handwritten digit recognition based on BP neural network program, use absolute paths.
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
Database-digit-handwritten
- 手写体数字识别的训练数据库（MNIST）。 收集了500多位实验者的共60000个样本。-THE MNIST DATABASE of handwritten digits Four files are available on this site: train-images-idx3-ubyte.gz: training set images (9912422 bytes) train-labels-idx1-ubyte.gz: training set label