搜索资源列表
分类程序
- 图像模式识别,vc++实现各种常用模式识别算法,包括分类器设计等-image pattern recogenise
模式识别分类器
- 本程序用来实现模式识别中二维线性变换的分类其设计-the procedures used for pattern recognition of two-dimensional linear transform its design classification
K最邻近分类器设计matlab
- K最邻近分类器设计matlab
Bayes_classifier
- 贝叶斯分类器的设计实验,内有解释利于入门学习-Bayesian classifier design experiments, which help to explain the study entry
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
nonlinerSVMfeileiqi
- 用其中一半的数据采用ANN-BP算法设计分类器,另一半数据用于测试分类器性能。-Half of the data used by ANN-BP algorithm design classifier, the other half of the data used to test the classifier performance.
基于BP神经网络设计分类器
- 基于BP神经网络设计分类器,MATLAB源程序例子。-Design based on BP neural network classifier, MATLAB source code examples.
tezhengxuanzhe
- 利用最小互信息实现向量的特征选择,优化分类器的设计,原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
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.
xiaoyouxidaima
- 手势分类器设计,很好很强大,太强大了,真的-Gesture classifier design, very good very strong, too strong, and true
Bayes_classifier_useful
- 关于贝叶斯分类器设计的实验,适合入门,上一个传错了,抱歉-Bayesian classifier on the experimental design is suitable for entry, a mass is wrong, sorry
zifushibie
- 光学字符识别系统,包括图像预处理、特征提取和分类器设计。-Optical character recognition system, including image preprocessing, feature extraction and classifier design.
main
- 基于最小平方误差准则函数的分类器设计编写程序过程中,难点是收敛判别-Based on the least square error criterion function of the classifier design process of the preparation process, the difficulty of convergence discriminant
K
- K最邻近分类器设计的MATLAB代码,有代码解释-K nearest neighbor classifier design in MATLAB code
BP_Adaboost5
- 基于 BP_Adaboost 强分类器设计 公司财务预警 建模-Classifier design based on BP_Adaboost strong financial early warning model
贝叶斯分类器设计
- 利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类。也就是说,贝叶斯分类器是最小错误率意义上的优化。
贝叶斯分类器
- 贝叶斯分类器设计,分参数已知和参数未知两种情况,含最大似然参数估计代码
非线性分类器设计
- 非线性分类器设计—支持向量机 matlab程序运行 非线性支持向量机(SVM)的原理、核函数类型 libSVM工具箱安装的一般流程(Nonlinear classifier design support vector machines)
贝叶斯分类器
- 该程序能够实现对两种样本进行贝叶斯分类,并且能够通过旋转观察两类的三维图,还能够画出超平面,更加直观的观察两类的分类。(The program can realize the Bayesian classification of two kinds of samples, and can be observed by rotating the 3D figure two class, also can draw a plane, the classification of the two cla
基于BP的分类器
- 基于BP的分类器设计,一个案例,适合初学者(Classifier design based on BP, a case, suitable for beginners)