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模式识别与智能计算matlab实现
- 杨淑莹 聚类分析和手写数字分析软件,可安装于MATLAB,实现聚类分析 手写分析
matlab-RBF
- RBF网络能够逼近任意的非线性函数,可以处理系统内的难以解析的规律性,具有良好的泛化能力,并有很快的学习收敛速度,已成功应用于非线性函数逼近、时间序列分析、数据分类、模式识别、信息处理、图像处理、系统建模、控制和故障诊断等。-RBF network can approximate any nonlinear function, can handle regular system are difficult to resolve, with good generalization ability,
SOM-MATLAB
- SOM自组织分类仿真MATLAB代码,主要应用于模式识别分析研究-pattern recognition of SOM simulation
matlab-parzen
- 模式识别作业,matlab PARZEN窗函数-Pattern recognition is homework, matlab PARZEN window function
PRmatlab
- matlab模式识别与智能算法,源码,程序已附上-matlab pattern recognition algorithm
Matlab-heart-sound-
- 本文综述了心音检测技术以及现代数字信号处理方法(谱估计、联合时一频分析、小波分析、模式识别)在心音信号分析中的应用及研究进展。-Heart sound detection technology are reviewed, and the modern digital signal processing method (spectrum estimation, joint frequency analysis, wavelet analysis and pattern recognition) i
Classification-MatLab-Toolbox
- 模式分类工具箱,有PCA、SVM、ID3源代码,用于数据分析、模式识别和机器视觉。-Pattern classification toolbox, there PCA, SVM, ID3 source code for data analysis, pattern recognition and machine vision.
Matlab
- 利用MATLAB编译的算法程序,采用神经元网络BP反馈算法编译,3种气体的模式识别,每种气体采用三个特征向量-neural networks
matlab-BPNN-code
- matlab语言的神经网络开源源程序 实际可用来分类预测模式识别-MATLAB language neural network source code can be used to classify the actual pattern recognition
parzen-matlab
- pazzle 窗实现模式识别算法, parzen窗函数概率密度估计演示程序 完全按照《现代模式识别》孙即祥著作 2.4.4《动态聚类法》算法3实现 使用欧式距离作为测度标准-puzzle window to achieve pattern recognition algorithm
pattern
- Matlab模式识别例程,包括神经网络算法和BP算法,C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
Matlab-libsvm-3.21
- LIBSVM是台湾大学林智仁(Lin Chih-Jen)教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包.-LIBSVM is a simple, easy to use and fast and efficient SVM pattern recognition and regression package Taiwan University Chih- Jen Lin (Lin Chih-Jen) development and design professor.
Matlab-(Bayers)
- 线性分类器可以实现线性可分的类别之间的分类决策,其形式简单,分类决策快速。但在许多模式识别的实际问题中,两个类的样本之间并没有明确的分类决策边界,线性分类器(包括广义线性分类器)无法完成分类任务,此时需要采用其它有效的分类方法。贝叶斯分类器就是另一种非常常见和实用的统计模式识别方法。-Linear classifier can be realized linearly separable classification decision between classes in the form of
Classification-MatLab-Toolbox
- matlab工具箱,包括SVM,ICA,PCA,NN等等模式识别算法,很有参考价值--attern recognition Matlab toolbox, including SVM, ICA, PCA, NN pattern recognition algorithms, and so on, of great reference value
max_min-distance-matlab
- 模式识别最大最小算法,MATLAB实现,可以实现鼠标选点,进行样例点的分类-Pattern recognition of the maximum and minimum algorithm, MATLAB implementation, can achieve the mouse point, classification of sample points
libsvm-3.21
- matlab模式识别工具箱libsvm3.21,可以直接装载,不需要编译,证明可用-Matlab pattern recognition toolbox libsvm3.21, can be directly loaded, do not need to compile
mejhnq-detection-matlab
- 支持向量机方法,用matlab实现,用于分类检测,模式识别,人脸检测等-Support vector machine (SVM) method, matlab, used for classification, pattern recognition, face detection, etc
LDA-matlab
- LDA智能算法,实现模式识别和聚类,例子是三维数据-LDA intelligent algorithm, to achieve pattern recognition and clustering, the example is three-dimensional data
sharingcode-LCKSVD
- 模式识别 字典学习 图像处理 本人亲测 可以直接运行!(Pattern recognition, dictionary learning, image processing)
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))