搜索资源列表
手写识别系统
- 数字识别,识别手写体。 使用神经网络算法编写。 识别率一般,带训练功能-Number recognizing system,used to recogize the hand writing figures.It is writen by nero network and has low recognizing effects but we can exercise it.
Demo-Mnist
- 基于神经网络的手写数字识别的源代码,绝对能够正常编译并运行!-based on neural network handwritten numeral recognition of the source code is absolutely normal to compile and run!
worddistinguish
- 脱机字符识别算法,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,数字识别之神经网络法,细化算法 -offline character recognition algorithms, including handwritten digital identification Fisher Linear Discriminant. Handwritten identification template matching, digital identification neura
characterrecognition
- 脱机字符识别算法,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,数字识别之神经网络法,细化算法
简单手写体数字识别系统的源代码
- 为了实现对手写字体的识别,运用了人工智能的分层神经网络思想,对识别的字体通过训练学习,达到识别手写字体的功能。-order to achieve the recognition of handwritten characters, the use of artificial intelligence hierarchical neural network thinking, the right font identification through training to learn, to a
matlab.rar
- MATLAB 神经网络用于数字识别源程序 手写数字识别,有图例,大家可以看看,MATLAB neural network to identify the source for digital handwritten numeral recognition, there are legends, we will look at
DigitalRecongnization
- 基于神经网络的手写数字识别系统,字符识别-Neural Network Based Handwritten Digit Recognition System
DataRecog
- 用神经网络,实现手写数字0-9的识别,对于相似度小的拒绝识别-Using neural networks, implementation figure 0-9 handwriting recognition, the similarity of small refuse recognition
shouxieshouzirecognition
- 基于vc++的手写数字识别系统,包括模板匹配,Bayes分类,神经网络分类等算法-Vc++ based on the handwritten numeral recognition system, including template matching, Bayes classification, neural network classification algorithm
shouxieshuzishibie
- 手写数字识别(脱机识别),采用了神经网络的方法,有界面指示-Handwritten numeral recognition (off-line identification), using neural network method, and a direct interface
Neuralnetworkimagerecognitionprocedures
- 神经网络的图像识别程序,可以进行手写数字的识别-Neural network image recognition procedures, can be hand-written digit recognition
shibie
- 针对10个手写数字的识别问题,设计了一个BP神经网络,使它能够正确识别10个数字。-Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits.
Release
- 闲时无聊,搭了一个基于深度神经网络的手写数字识别系统。该系统在手写数字数据库mnist测试达到了99.22 的准确率。整个系统基于C++开发,可以很方便的移植到其他平台。 其中手写数字数据库mnist(http://yann.lecun.com/exdb/mnist/),有60000个训练样本数据集和10000个测试用例。它是由Google实验室的Corinna Cortes和纽约大学柯朗研究所的Yann LeCun建立的一个手写数字数据库。同时它是nist数据库的一个子集。
CNNmatlab
- cnn卷积神经网络用于手写数字识别,cnet_tool是一个demo-cnn convolution neural network for handwriting recognition, cnet_tool is a demo
BP-networkmatlab
- BP神经网络实现手写数字识别,使用matlab实现。内有测试数据及实验结果,非常适合入门者使用。绝对超值、值5分。0.99MB的文件下载该文档,你不会吃亏。-BP network matlab
BPshouxieshuzishibie
- 基于BP神经网络的手写数字识别,总共有三个程序,分别是建立样本,进行训练,最后是检验测试-Based on the BP neural network handwritten numeral recognition, a total of three procedures, namely, the establishment of samples, training, and finally test
BP神经网络实现手写数字识别matlab实现
- 可以实现手写数字识别,值得学习,很好的源代码。(Handwritten digital books can be realized)
handwriting recognition GUI
- 本文主要实现手写数字识别,利用多类逻辑回归与神经网络两种方法实现,并编写有GUI界面。(This paper mainly implements handwritten numeral recognition, using multiple logic regression and neural network to achieve two methods, and the preparation of a GUI interface.)
用神经网络进行手写数字的识别
- 该文件可以用于实现手写文字的图像识别,欢迎下载(The document can be used to achieve handwritten text recognition)
基于深度学习的手写数字体识别
- 基于深度学习的手写数字体识别,以卷积神经网络(CNN)作为网络模型,利用mnist手写数字训练数据集训练手写数字识别模型,搭建手写数字识别系统,并用自己手写的数字照片进行测试。