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MATLABSHOUXIESHIBIE
- 这是一个用matlab实现的RBF神经网络手写数字识别算法.此算法加入相应的手写数字图后可以运行.-This is a realization of using Matlab RBF neural network recognition algorithm handwritten figures. This algorithm adherence to the corresponding figures handwritten map after the run.
脱机手写阿拉伯数字识别程序代码
- matlab神经网络识别算法
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
NeuralNetwork_BP
- 模式识别的一个基础程序,手写数字模式识别,提供给大家分享-A basic pattern recognition procedures, handwritten numeral recognition, available to everyone to share
bp
- MATLAB 神经网络用于数字识别源程序 手写数字识别-MATLAB neural network for digital identification of the source handwritten numeral recognition
bp-recognition
- 采用BP神经网络对手写体数字进行识别。识别相当方便有效快捷-Using BP neural network to recognize handwritten digits. Very easy to identify effective and efficient
9783787MATLABSHOUXIESHIBIE
- 用matlab实现手写数字识别人工神经网络（ArtificialNeuralNetworks，简写为ANNs）也简称为神经网络（NNs）或称作连接模型（ConnectionistModel），它是一种模范动物神经网络行为特征，进行分布式并行信息处理的算法数学模型。-Matlab handwritten numeral recognition
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
handwritingPrecognitionPGUI
- 基于BP神经网络的手写数字识别系统，基于Matlab开发，实现手写输入板功能，特征提取，模型训练，手写识别等功能。详细使用方法在readme说明文档中。-Handwritten numeral recognition system based on BP neural network, developed based on Matlab, handwriting input board, feature extraction, model training, handwriting recogn
matlab-written-number-recognistion
- 本程序基于“图像模式识别—VC++技术实现”写就，实现了线性和非线性手写数字识别。 程序主文件是homework.m 程序包括homework.m,homework.fig,Getfeature.m,losstab.m,losstab.fig,samplelib.m,samplelib.fig,save_sample.m,save_sample.fig 和数据库template.mat。 具体实现可以参考程序内注释。-this is a matalb programme,i
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
nnetwk
- 一个基于BP神经网络的matlab手写识别程序，可识别0-9的数字，如果加点英文字母的图片，再改改参数，应该能识别英文。-Based on BP neural network matlab handwriting recognition program that identifies 0-9, if the English alphabet picture plus point, and then changed the parameters, should be able to identif
recognition
- 神经网络的手写 数字识别matlab。包含数据库，可直接运行。-Handwritten numeral recognition matlab neural network.Contains a , can be directly run
number-recognitionP
- 基于matlab利用BP神经网络开发的手写数字识别，正负样本为分别为1000张，手写数字是minist库-Based on BP neural network matlab developed handwritten numeral recognition, positive and negative samples were 1000, handwritten digital library is minist
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)
matlab
- 基于BP神经网络手写数字识别，main函数是主函数，识别的成功率在86%左右。(Based on the BP Neural Network handwritten digital recognition, the main function is the main function, and the recognition success rate is about 86%.)
MNIST_CNN 代码及测试结果
- 只含一层卷积层的CNN也可以将手写数字识别的正确率达到99%(The CNN with only one convolutional layer can also get the correct rate of handwritten digit recognition up to 99%.)
deep_autoencoder_or_classifier@MNISTdigits
- SAE手写数字识别 MATLAB代码 deep learning(SAE deep learning MATLAB)
CNN
- 手写数字识别的数据集 matlab实现cnn(Data Set for Handwritten Number Recognition Realization of CNN in matlab)
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