搜索资源列表
szsb121
- 通过神经网络进行数字识别，只加了7个数，可加至10个数字-through neural network for digital identification, only increasing the number seven, can increase the number to 10
基于vc的神经网络数字识别系统源码
- 运行里面的stdafx.cpp文件就可之间运行系统，在进行数字识别前要对图片进行预处理。
TextAdjust
- 本系统是一个基于神经网络的文字识别系统，通过对图片的一系列处理，最后识别得出图片中显示的数字。-This system is a neural network based character recognition system, through a series of picture deal, and finally come to identify the figures shown in the picture.
RbfCharAndNumberTrain
- 基于径向基神经网络的字符和数字的训练，主要用于车牌识别，效果不错-RBF neural network based on the characters and figures of training, mainly used for license plate recognition, good results
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
Digit
- MATLAB 神经网络用于数字识别源程序，可以很好的识别数字，Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described
bp
- c语言写的改进BP神经网络，可以识别1至10数字，识别率为87 -c language to improve the BP neural network to identify the number of 1-10, the recognition rate of 87
Hopfield
- matlab使用hopfield神经网络实现数字识别，加入噪声后，也可以识别出来！-matlab neural network using the hopfield digital identification, adding noise, can also be identified!
DigitalIdentification
- 基于神经网络的数字识别系统，包含测试图片。-Digital Identification System
ANN
- 这是一个基于人工神经网络的数字识别系统的程序，包括数字训练库，采用Visual C++实现。-This is an artificial neural network-based digital identification system procedures, including the number of training database, using Visual C++ implementation.
recognitionprogram
- BP神经网络数字字符识别程序,可以识别各种手写字，识别率还不是很好-BP neural network digital character recognition program that can identify a variety of handwritten word recognition rate is not very good
neural-network
- 基于神经网络的数字识别，数字2的神经网络识别方法代码-Based on neural network of digital identification
hopfield
- 离散二值神经网络，作为一种新的人工神经网络，是一种具有联想记忆功能的网络，用于数字识别。-Discrete binary neural networks, as a new artificial neural network is a kind of associative memory function of the network, for digital identification.
BPN5
- Windows上基于神经网络的数字识别程序，基于DirectShow-BPN number recognition program on Windows using DirectShow
手写数字识别
- 贝叶斯，神经网络等不同算法下的手写数字识别比较并建立了GUI界面可视化(Bias, neural network and other algorithms under the handwritten numeral recognition, comparison and establishment of the GUI interface visualization)
dnn
- 用TensorFlow搭建神经网络，识别手写数字(building the neural network by using TensorFlow to identify mnist dataset)
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
手写数字识别
- 运用卷积神经网络进行特征提取，然后进行分类(Using convolution neural network to extract features and classify them)
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%。