搜索资源列表
HandWritingRecognition
- 通过Java编写的手写数字识别器源代码，功能为能自主学习和调整以适应不同使用者，可以识别数字0-9-Java handwritten figures prepared by the reader source code, in order to function independently and learning to adjust to different users, identification number 0-9
贝叶斯分类器源代码
- 利用VC实现的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-The source code of bayes classfication using VC
classification
- 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
naive_bayes_numeric
- 利用matlab实现的朴素贝叶斯分类器的源代码，可以用来分类或识别，自己编写的，请多指教-Using matlab Naive Bayesian classifier to achieve the source code can be used to classification or recognition, I have written, and like him Zhijiao
ANNRecognizer
- C#编写的BP神经网络模型的手写识别器，可以识别数字-C# prepared by the BP neural network model of the handwriting recognizer, you can identify the numbers
Bayes
- 一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集，建立Bayes 分类器，用测试样本数据set1.txt、set2.txt、set3.txt 对该分类器进行测试,分别应用单个特征及两个特征进行实验-A relatively simple pattern recognition problem. Female.txt and male.txt use data as a training sample set, the establishment of
1
- 这是一个模式识别，关于贝叶斯分类器实现的代码-This is a pattern recognition, Bayesian classifier on the realization of the code
fisher
- Fisher分类器，用于对多维采样点进行分类。可根据类别数修改分类器，我们的模式识别作业。-Fisher classifier, multi-dimensional sampling points used for classification. Can be modified according to the number of classification categories, and our pattern recognition operation.
PR_Perception_Approach
- 模式识别中的线性感知器算法 通过了测试-Pattern Recognition linear perceptron algorithm passed the test
Bpn1ha
- 用BP神经网络分类器进行分类识别的matlab源代码-Using BP Neural Network Classifier for classification and identification of the matlab source code
dancengganzhiqi
- 单层感知器识别的一段程序，可以编译后实现-Single-layer perceptron to identify the section of the procedures can be compiled to achieve
prtools
- 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
net1
- 单层感知器人工神经网络，可以用来解决线性可分的模式识别问题-Single-layer perceptron artificial neural network, can be used to solve linear pattern recognition problems can be divided into
KernelDiscriminantAnalysis(manyclassiers)
- 用于目标识别的核辨别分析程序，含有大量的分类器子程序。-For target identification of nuclear analytical procedures to identify, contain many classifier subroutine.
NearestFeatureLineClassifier
- 用于空中目标识别的最近特征线分类器子程序。-Aerial targets for the identification of Nearest Feature Line Classifier subroutine.
NearestFeaturePlaneClassifier
- 用于空中目标识别的最近特征平面分类器子程序。-Aerial targets for the identification of the recent characteristics of plane classifier subroutine.
Bayes
- 贝叶斯分类实验，设计简单的线性分类器，了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
ex3
- 基于BP神经网络识别字符. BP神经网络算法是把一组样本输入输出问题转化为一个非线性优化问题，并通过梯度算法利用迭代运算求解权值的一种学习方法。采用BP网络进行分类，并附加线性感知器来实现单字符的有效识别，算法简便，识别率高，可适用于多种高噪声环境中的印刷体字符识别。-BP neural network based character recognition. BP neural network algorithm is a set of sample input and output is
模式识别代码
- 基于matlab的Iris、乳腺癌数据集的模式识别分类算法，含有 遗传算法+SVM、isodata、感知器算法、LMSE、神经网络等算法的实现代码，用于聚类效果良好，是模式识别大作业的参考资料(The pattern recognition classification algorithm based on MATLAB for Iris and breast cancer data sets contains the implementation code of genetic algorit
KNN分类器
- 一、用python或matlab编写一个KNN分类器 训练集为semeion_train.csv（手写体识别） 测试集为semeion_test.csv 计算在测试集上错误率（k=1,k=3,k=5,k=10） ?(1. Write a KNN classifier with Python or matlab Training set is semeion_train.csv (handwriting recognition) The test set is semeion_test