搜索资源列表
wav_featu
- 模式识别中,以小波分析为基础的信号能量特征提取方法,matlab源代码-pattern recognition to wavelet analysis of the signal energy feature extraction method, the source code Matlab
ISODATA--CMenu
- ISODATA算法,模式识别课程的一个作业-ISODATA algorithm, a pattern recognition programs work
pointsclassify
- 用于模式识别分类,有C均值算法、HK算法以及感知器算法-for the classification, C-means algorithm, HK algorithm and Perceptron Algorithm
bayes1111
- Bayes分类器设计,对模式识别有一个初步的理解,能够根据自己的设计对贝叶斯决策理论算法有一个深刻地认识-Bayesian classifier design, pattern recognition to a preliminary understanding, According to the design of Bayesian decision theory algorithm has a profound understanding
chepaishbie
- 一个很好的进行车路径识别的的例子,希望对大家学习模式识别有用-a good path for vehicle identification example, we hope to learn a useful pattern recognition
Classification_toolbox
- 在网上找到的一个模式识别工具箱,希望对大家有用-online to find a pattern recognition toolbox, we hope to useful
pca5_fold
- 模式识别中pca 5-fold交叉检验算法-pattern recognition pca 5-fold cross-validation algorithm
bp_matlab_pattern
- 是我的模式识别的作业,可以成功的分类iris数据,大家可以-is my pattern recognition operations, the classification can be successful iris data, we will look at
Elman
- MATLAB程序编写的神经网络ELMAN算法,实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
bpnetworkdown
- MATLAB实现BP神经网络故障模式识别的示例-MATLAB BP neural network fault examples of pattern recognition
Karhunen-Loève.Feature.Transform
- Karhunen-Loève特征变换 模式识别课程实验
ISODATA.Clustering
- ISODATA聚类实验 模式识别课程实验所用的源程序-ISODATA clustering pattern recognition experimental courses used in the experimental program
Artificail.NN
- 人工神经网络(感知器模型和BP算法) 模式识别课程实验-artificial neural network (perceptron model and BP algorithm) Experimental Pattern Recognition
NearestNeighbor
- 模式识别问题最近邻算法的matlab实现,简单易懂-nearest neighbor pattern recognition algorithm to achieve the Matlab and easily understood
K_average
- 模式识别的经典算法之一,动态聚类的k均值算法,采用matlab进行编程
shibie
- 本代码是超变异模式识别的代码,能通过输入多个模式来进行识别分类。
sequential_forward_selection
- 自己编的matlab程序。用于模式识别中特征的提取。是特征提取中的Sequential Forward Selection方法,简称sfs.它可以结合Maximum-Likelihood-Classifier分类器进行使用。
Maximum_likelihood_Classifier
- 自己编的matlab程序。用于模式识别。结合特征提取方法sequential_forward_selection使用。
stprtool
- 用matlab实现的统计模式识别工具箱,非常棒适合学习。
PR
- 超全的模式识别Matlab源程序,涉及几乎所有常见算法,还有图形界面,可以图形显示分析结果