搜索资源列表
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.
手写体数字识别
- 一款从网上得来数字识别程序,用的算法是神经网络-one obtained from the Internet digital identification procedures, the use of neural network algorithms
脱机手写阿拉伯数字识别程序代码
- matlab神经网络识别算法
hopfieldNN
- matlab格式源代码。功能：HOPFIELD神经网络优化计算算法源码和应用于数字识别问题。-matlab source code format. Function: HOPFIELD neural network optimization algorithm applied to the digital source and identify the problem.
shuzishibie
- 数字识别完整的资料、算法研究，包括验证码识别，指纹识别、手写数字识别等，如果你正在研究数字识别方面的问题，相信这些资料对于你来说一定是如鱼得水。-Complete information about the number of identification, algorithm research, including verification code recognition, fingerprint recognition, handwriting recognition and other
clustering_algorithm
- 数字识别采用多种算法：聚类算法，遗传算法-Digital Identification using a variety of algorithms: clustering algorithm, genetic algorithm ...
num
- 利用matlab采用基于Gabor特征的识别算法实现手写数字识别-Using matlab recognition based on Gabor feature recognition algorithm for handwritten numeral
K-negibour-method
- 利用K近邻法实现数字识别算法。误差小，识别效率高，网络训练速度快。-K-nearest neighbor algorithm, digital identification algorithm. Error is small, high recognition efficiency and speed of network training.
myBPMNIST
- 采用典型的BP算法实现了有导师学习下的神经网络，采用输入层、隐含层和输出层的三层结构，实现了BP算法。并用此算法实现了基于MNIST的数字识别，采用7000个样本做训练，自洽检验正确率达到了99.79%。
13
- matlab0到9数字识别算法，希望对初学者有用啊-matlab 0- 9 number recognition algorithm, we hope useful for beginners ah
kmean
- 通过编写Kmeans算法识别自己的手写数字0——9个数字(Through the preparation of Kmeans algorithm to identify their handwritten numbers 0 - 9 numbers)
kNN
- 通过k近邻算法实现数字识别，主要包含0-9之间的所有数字。(Digital identification is realized by K nearest neighbor algorithm.)
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)
手写数字识别
- 一个练习机器学习的算法，解决手写数字识别的算法(An algorithm that exercises machine learning to solve the handwritten numeral recognition algorithm)
mnist1
- 训练手写数字识别算法，正确率达到91.6%(Training handwritten numeral recognition)
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
语音识别1
- 英文数字以及简单单词语音识别，用DTW算法实现，其中包含英文数字1-9的录音以及简单单词录音文件(Speech recognition of English numbers and words by DTW algorithm)
BP神经网络数字识别（matlab2014a）
- 利用BP神经网络识别易拉罐底字符识别，运行前注意阅读算法说明和代码中相对路径的设置。(The BP neural network is used to identify the character recognition of the bottom of the can, and the pre operation attention to the reading algorithm and the setting of the relative path in the code.)
KNN
- 利用KNN算法识别手写数字，zip内包含训练数据集和测试数据集(This is a handwriting number recognition demo using kNN algorithm)
Speech-Recognition-master
- 针对特定人dtw算法语音识别,实现0-9的数字识别用于初学者(speech recongition using dtw)