搜索资源列表
gendata
- 用于模式识别的MATLAB源代码,准确性高,比较好用.
kmean
- 用于模式识别的MATLAB源代码,准确性高,比较好用.
knn
- 用于模式识别的MATLAB源代码,准确性高,比较好用.
pazzern
- 用于模式识别的MATLAB源代码,准确性高,比较好用.
tree
- 用于模式识别的MATLAB源代码,准确性高,比较好用.
ycsj
- 遗传算法用于函数拟合与模式识别的Matlab示例程序
SVM_lzb1p0
- 四种支持向量机用于函数拟合与模式识别的MATLAB示例程序.-Four support vector machines for pattern recognition function fitting with MATLAB examples of procedures.
moshishibieyuanma
- 这是在研究神经网络的过程中，自己编写的用于模式识别的MATLAB源代码，相信对于神经网络的学习者有帮助，其中也给了测试数据！ -This is the study of neural networks in the process of their preparation for the MATLAB source code for pattern recognition, neural networks and I believe that learners be helpful, which
ganzhiqi
- 自己编写的感知器算法的程序，用于模式识别的，仅供参考。-The Perceptron algorithm have written procedures for reference purposes only.
PrincipalComponentAnalysis
- 本书介绍了主成分分析法中重要概念，已经大量应用实例，特别适合学习模式识别的人。-This book describes the principal components analysis of important concepts, has a large number of examples, especially for people learning pattern recognition.
vcPP
- 有关所有模式识别的matlab程序 非常有用-For all of Pattern Recognition program is very useful matlab
MATLAB_FOR_PR
- 可以用于模式识别的matlab 工具库代码。-matlab code tools for pattern recognition
matlab-patern-recognition
- matlab例程，模式识别的matlab代码实现-matlab routines, pattern recognition matlab code
Neighbor-classification
- 近邻分类，属于模式识别类的。对两类数据分别产生高斯分布数据，用KNN算法看这个数属于哪个类的，并求测试数据和类中每个数据的欧氏距离-Neighbor classification, pattern recognition belongs to the class. Two types of data were generated Gaussian distribution data, to see with this number belongs KNN algorithm class and
kmeans
- 该程序实现了模式识别的kmeans聚类。-The program implements a pattern recognition kmeans clustering.
waveletnetwork.m
- 应用小波神经网络进行模式识别的MATLAB源程序-Wavelet neural network pattern recognition MATLAB source
bayes
- 支持向量机，主要用于函数拟合和模式识别的matlab程序-Support vector machine for function fitting and pattern recognition matlab program
datasets
- 支持向量机，主要用于函数拟合和模式识别的matlab程序-Support vector machine for function fitting and pattern recognition matlab program
multicalss_adaboost
- 用于EMG信号模式识别的adaboost算法，实现了多种动作模式的识别，内有数据。-the pattern recognition of EMG signal with adaboost algorithm