搜索资源列表
手写体数字的识别程序
- 运用神经网络 算法所写的手写数字的识别程序-networks using neural network algorithm written in the handwriting digit identification procedures
手写数字识别系统
- 111我们的任务是要设计并训练出一个可行、高效的 BP 网络，以实现对 0到 9共 10 个加噪声后的数字和识别。-Our task is to design and train a viable and efficient BP networks to achieve 0-9 to a total of 10 increases the noise figure and identification.
简单手写体数字识别系统
- 可以识别手写数字
shouxieshuzishibie
- 基于神经网络的手写数字识别系统，用delphi编写的，很有用哦-Based on neural network handwritten numeral recognition system, prepared by delphi useful ~~~~~~~ Oh
shibie
- 应用matlab程序，实现了对手写数字的识别，准确率非常高。-Matlab application procedures, to achieve the hand-written digit recognition, the accuracy rate is very high.
digitalidentification
- 自己编的识别手写数字的程序 大家随便看看吧-Own hand-written digit recognition process we just take a look at it
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
23456
- vc数字图像模式识别技术的源程序，包括手写数字识别（联机，脱机），图像纹理分析，人脸识别等等。程序均可运行。-vc digital source image pattern recognition technology, including handwritten numeral recognition (online, offline), image texture analysis, face recognition and so
patternRecognitionAndcompute
- 模式识别与智能计算matlab实现的源代码 主要有聚类分析 手写数字分类的实现-pattern Recognition And intelligence computing
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
Digit-recognizer---knn-a-svm
- matlab中分别使用knn（k近邻）与svm（支持向量机）实现的对手写数字识别的二分类器-Digit recognizer(KNN and SVM) developed in matlab
NumRecognition
- 用改进的BP算法实现手写数字识别，并带有GUI界面，是一个很不错的手写数字识别系统。-Improved BP algorithm with handwritten numeral recognition, and with a GUI interface, is a very nice handwritten numeral recognition system.
handwrite2
- 采用KNN算法，用PYTHON语言实现的手写数字图像识别(Using KNN algorithm, handwritten digital image recognition with PYTHON language)
手写体数字识别
- 可以识别手写体数字，识别率在百分之90以上。贝叶斯决策论(Handwritten numerals can be recognized)
MNIST
- 简单的手写数字识别，在深度神经网络中的简单尝试，对于初学者有个很好的理解(Simple handwritten numeral recognition, in the depth of neural network simple attempt, for beginners have a good understanding)
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 outp
MNIST手写数字图片库
- 原图像库,未经过特征提取的手写数字库，可以使用(The original image library, untouched handwritten digital library, can be used)
my_cnn.tar
- 用卷积神经网络实现手写数字识别，数据集为mnist数据集(Convolution neural network is used to realize handwritten numeral recognition. Data set is MNIST data set.)
sc
- 手写数字签名识别源代码使用matlab编写(Handwritten digital signature recognition source code, written in MATLAB.)
手写数字识别
- 通过训练图片中数字0~9，跟着通过手写输入识别出所写数字的类别。(By training the number of 0~9 in the picture, we can identify the category of the written number followed by handwritten input.)