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finish
- 可以进行包括bp神经网络以及svm支撑向量机和其他多种方式的模式识别进行数字识别,可以导入白底黑字的图片,也可进行手写识别。-Bp neural network can be included, and svm support vector machines and other pattern recognition in many ways digital identification, black and white images can be imported, but also the
dsplit
- vc编写的模式识别的分类程序,可以对手写数字和图片数字进行识别-vc prepared pattern recognition classification procedures, can be hand-written picture figure figure and identify ~ ~
svm_orc
- 一个基于模式识别的手写数字识别源码,支持学习,以适应不同人手写识别。里面有源码以及测试程序和图片,很适合用来学习-A handwritten numeral recognition based on pattern recognition source code, support learning in order to adapt to different handwriting recognition. There are source code and test procedures an
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
train-images-idx3-ubyte
- 用于手写数字识别的训练数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Training data (pictures) for handwritten digit recognition)
t10k-images-idx3-ubyte
- 用于手写数字识别的预测数据(图片) 数据格式:前32位为2049,再32位为数据数量,再32位为图片宽度M,再32位为图片高度N,之后每N*M位都是图片的像素值(Predictive data (pictures) for handwritten numeral recognition)
testall
- 有关matcovnet中的lenet网络的准确度测试代码,以及自己建立的测试集图片测试与手写数字测试的GUI界面(About the accuracy test code of lenet network in matcovnet, and the GUI interface of the test set, picture test and handwritten numeral test set up by myself)
BP神经网络手写数字识别
- 使用bp神经网络算法识别手写阿拉伯数字图像,三层的误差反馈神经网络,可输出准确率,数据集为60000条数据,每条数据是一张28*28的图片(The BP neural network algorithm is used to recognize handwritten Arabia digital images, and the error feedback neural network of three layers can output the accuracy rate. The data
mnist
- 手写数字识别。通过各种数字图片进行机器识别,属于机器学习入门级别编程。(Handwritten digit recognition. The machine is recognized by various digital pictures, which belongs to the introduction level programming of machine learning.)
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
神经网络-手写数字识别
- 利用BP神经网络,对MNIST数据集中的5000张图片进行训练,实现手写数字识别,训练出来的结果准确率在90%。