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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
Ann3
- 基于广义神经网络的聚类算法的网络入侵聚类的matlab源程序以及数据-Based on generalized neural network clustering algorithm matlab source network intrusion and data clustering
Fuzzy-neural-network
- 用matlabr2009编程实现神经网络模糊聚类算法-Programming neural network with matlabr2009 fuzzy clustering algorithm
fuzzy-clustering
- 用matlabr2009编程实现神经网络模糊聚类算法，采用cell工具把整个程序分为以下几个部分-Programming neural network with matlabr2009 fuzzy clustering algorithm, using cell tools to the entire program is divided into the following sections
K-Means
- K-means 动态聚类算法，在人工智能、神经网络中应用非常广泛-Dynamic K-means clustering algorithm in artificial intelligence, neural network is widely used in
som
- 自组织特征映射神经网络，实现聚类分类功能-Self-organizing feature map neural network, to achieve clustering classification
guagnyishenjingwangluo
- 广义神经网络的聚类算法，matlab，网络入侵聚类，包含程序代码-Generalized neural network clustering algorithm, matlab, network intrusion cluster, contains program code
SOM
- 利用VC++6.0实现SOM神经网络，简单对数据进行聚类-VC 6.0 SOM neural network, a simple clustering of the data
GWSOM
- 这是生长自组织神经网络的编程实例，用c语言实现，可以实现动态聚类-Growth neural network programming examples
Pattern-Recognition
- 模式识别与智能计算的一个基于matlab运行的识别分类软件，聚集了模糊聚类，SVM，神经网络等各种流行的分类算法于一体，便于比较测试数据在不同分类算法下的分类效果-Pattern Recognition and Intelligent Identification and Classification of the calculation to run a matlab software, gathered a variety of popular fuzzy clustering, SVM,
KLS_RBF
- 基于k均值算法聚类和径向基网络的神经网络程序-rbf program based on k-means and ls
KLS_RBF1
- 有归一化的基于k均值聚类和LS的matlab程序，神经网络算法-rbf based on k-means and ls，with standard