搜索资源列表
rbf_Kmeans
- Matlab环境下实现的RBF神经网络K均值聚类算法-Matlab environment to achieve the RBF neural network K-means clustering algorithm
SOM
- SOM 聚类分析应用,神经网络30案例应用的例程。有详细说明用法-SOM clustering analysis application with the book called 30 neural network application. very useful with details
datamining
- 数据挖掘相关算法集合,有聚类、神经网络、遗传算法等的代码实现-Data mining correlation algorithm collection has clustering, neural networks, genetic algorithms, such as the code implementation
SOM
- SOM自组织神经网络的C语言源码,可以通过该程序实现无监督的聚类。-SOM self-organizing neural network C-language source code
ImagePatternRecognition
- 本书介绍图像模式识别的各种算法及其编程实现步骤。全书共分为10章,内容包括:模式识别的基本概念,位图的基础知识,分类器设计,模板匹配分类器,基于概率统计的Bayes分类器,几何分类器,神经网络分类器,图像分割与特征提取,聚类分析,模糊聚类分析,遗传算法聚类分析-Image Pattern Recognition
Handwritten_numeral_recognition
- 手写数字识别,分为分类程序(模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器)和聚类程序(模糊聚类、遗传算法)-Handwritten numeral recognition, is divided into classification procedures (template matching classifier, Bayes classifier, a linear function of classification, non-linear classif
mode
- 基于VC的各种聚类和分类算法程序。 手写数字或者打开已有的手写数字图像后,在右视图空白处,单击鼠标左键,激活右视图,选择菜单中的各种分类算法,可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。 在左视图上单击鼠标左键,可获得3种数据源:标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a
Som_clustering
- 基于VC++的Som聚类算法程序。SOM是一种通过自组织竞争学习网络实现数据的分类和降维可视化神经网络模型。内附算法的原理说明以及详细的程序调用说明及运算结果。是初学者的很好的入门材料-Based on VC++ program of Som clustering algorithm. SOM is a competitive learning through self-organizing network for data classification and dimensionality r
StudyingpossibilityinaclusteringalgorithmforRBFNN.
- 聚类算法优化的RBF神经网络外文文献 十分难找的-Clustering algorithm optimization of RBF neural network is very difficult to find foreign-language literature of the
f
- 基于KOHONEN神经网络聚类方法在遥感分类中的比较-Based on KOHONEN neural network clustering method in a comparison of remote sensing classification
rbf-ANN
- 径向基网络人工神经网络程序(聚类算法),应用MATLAB 软件开发。-RBF-ANN
julei
- 这是一个基本的数模题目的套路,分析数模聚类问题,例子是乳腺癌的诊断模型,过程为标准化数据,逐步回归,分析主要因素,聚类方法有距离法和神经网络法,均附有源码和解释说明-This is an essential topic of routine digital-analog, digital-analog cluster analysis problem example is the breast cancer diagnostic model, the process for the standa
pnn1
- PNN神经网络聚类法的MATLAB的源代码,自己编写的,很实用,希望对大家有所帮助。-PNN neural network clustering method for MATLAB source code, I have written, very practical, we want to help.
RBFboiler
- 本程序是利用RBF神经网络和K-j聚类算法对电站锅炉进行建模。-This procedure is the use of RBF neural network and Kj clustering algorithm to model boiler.
l41
- BP神经网络聚类 在MATLAB中的应用程序-The BP you could select the important elements
RBF_3
- 此程序是神经网络中基于聚类的径向基函数算法,在MATLAB中实现。用一个2-n-1结构的RBF网对SISO系统进行建模,网络的两个输入为u(k-1)和y(k-1),输出为 y(k)。令y(0)=0,按飞线性系统产生200个样本,其中前100个样本用于训练,后100个样本用于测试。-This procedure is based on neural network clustering of radial basis function algorithm is implemented in MAT
RBF-k
- RBF(径向基神经网络)网络是一种重要的神经网络,RBF网络的训练分为两步,第一步是通过聚类算法得到初始的权值,第二步是根据训练数据训练网络的权值-RBF (radial basis function neural network) network is an important neural network, RBF network training is divided into two steps, first step is to get through the initial clus
fuzzy
- 模糊神经网络的matlab实现——模糊聚类-Matlab fuzzy neural network implementation- Fuzzy Clustering
k-means-clustering-of-rbf-
- 聚类算法:聚类分析是指事先不了解一批样品中的每一个样品的类别 基于k均值聚类学习算法的rbf神经网络实现-Clustering algorithm: cluster analysis is the prior knowledge of each batch of samples in the sample of category learning algorithm based on k means clustering of rbf neural network
vcdigita-image-patten-
- 本书介绍了模式识别和人工智能中的一些基本理论以及一些相关的模型,包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等-This book describes the pattern recognition and artificial intelligence in some of the basic theory and some related models, including Bayesian decision-making, linear discriminant f