搜索资源列表
fgr
- matlab软件包,分类器,图形界面可以用于分两类,大多数程序适用于分多类,-The matlab software package, classifier, graphical interface can be used for two kinds of most programs suitable for many classes,
qudgment
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现-Pattern recognition, the linear prediction classifier is used to implement logic and logic or MATLAB
xwtdhd
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
EQBNZJU
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
szquenoedocumentVSAM
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现-Pattern recognition, the linear prediction classifier is used to implement logic and logic or MATLAB
6227374
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
pziearand
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现-Pattern recognition, the linear prediction classifier is used to implement logic and logic or MATLAB
wnassification-pattern
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点-Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point
the-tye
- matlab环境下,基于云模型的分类器,包括基于例子群优化的云分类器,不错-Matlab environment, the classifier based on cloud model, including cloud classifier based on example of optimization, good
固定增量法求分界面
- 固定增量法求分界面 (利用感知器训练算法中的固定增量法求分界面，将样本集分为两 类)，附带整个分类过程及原理(The fixed increment method calculates the interface (using the fixed increment method in the perceptron training algorithm for the interface, and divides the sample set into two Class))
ielbrh
- matlab环境下,基于云模型的分类器,包括基于例子群优化的云分类器,不错(Matlab environment, the classifier based on cloud model, including cloud classifier based on example of optimization, good)
patmernand
- 模式识别中贝页斯分类器的MATLAB实现,且用不同颜色标记了分类点和错分点(Mr Page in pattern recognition classifier of MATLAB, and use different color tag by classification and fault point)
tce
- 模式识别中,用线性预测分类器实现逻辑与和逻辑或,MATLAB实现(Pattern recognition, the linear prediction classifier is used to implement logic and logic or MATLAB)
感知器算法
- 感知器算法是一种神经网络的模型，是20世纪50年代中期到60年代初人们对模拟人脑学习能力的一种分类学习机模型的称呼。当时的研究者认为它是一种学习的强有力模型，但以当时的技术无法实现非线性分类，许多实验室都放弃了感知器的研究。但其中的思想很经典，对后来的模式识别模型有很大的影响。当然，随着时代的进步，已经有很多学者提出了许多非线性的感知器改进算法，并取得良好效果，此程序主要基于Matlab来具体实现传统的感知器算法。(This program is based on Matlab to speci
神经网络
- 基于MATLAB编写的神经网络单层感知器分类(Neural network single layer perceptron classification based on MATLAB)
Bp_Ada_Sort
- boosting是一族可将弱学习器提升为强学习器的算法，工作机制类似基学习器的加性模型。本代码为boosting的分类数据算法。(boosting is a algrithm to carry out a powerful learning machine basing on based machine.)
homework2_2
- 实现批处理感知器算法的程序，用于分类训练集，同时记下收敛时的步数(Program to realize batch perceptron algorithm for classification of training set, and steps to write down the convergence)
shiyan4
- 解决非线性多类别分类问题，利用实际数据进行分类处理。(Solving nonlinear multi class classification problem, using actual data for classification processing.)
基于主分量的人脸重构
- 本实验是基于主成分分析法（PCA）在人脸识别中的应用，采用SVM分类器在ORL人脸库的基础上通过Matlab实现了快速PCA算法的验证仿真。
matlab脚本文件
- 输入两组变量即可进行系统优化迭代，选择最佳变量(The system optimization iterations can be carried out by the input of two groups of variables, and the optimal variables are selected)