搜索资源列表
forcast_SOM
- 自组织特征映射负荷预测程序,matlab程序,.m文件,带数据,很好用~-Self-organizing feature map load forecasting procedures, matlab program,. M file with data, good ~
sample4
- 工神经网络(Artificial Neural Network)又称连接机模型,是在现代神经学、生物学、心理学等学科研究的基础上产生的,它反映了生物神经系统处理外界事物的基本过程,是在模拟人脑神经组织的基础上发展起来的计算系统,是由大量处理单元通过广泛互联而构成的网络体系,它具有生物神经系统的基本特征,在一定程度上反映了人脑功能的若干反映,是对生物系统的某种模拟,具有大规模并行、分布式处理、自组织、自学习等优点,被广泛应用于语音分析、图像识别、数字水印、计算机视觉等很多领域,取得了许多突出的成果
mykohonen
- 自组织神经网络竞争网络神经网络,无导师学习算法,分类 联想记忆功能。-Self-organizing competitive neural network, neural network without a mentor learning algorithm, classification Associative memory function.
som3dmesh
- this code is used to train a self organizing map for a 3d shape
Competitive-Learning
- Sample code for learning Competitive Learning and Self Organizing Maps using Matlab.
Injection-Modeling-Machines
- Self-organizing Fuzzy Controller for Defense System Injection Machines
SOM-PNN
- 本文将SOM(自组织特征映射)和PNN(概率)神经网络应用到柴油机故障诊断中,首先介绍了SOM和PNN神经网络的算法,然后对柴油机的故障进行了分析,并运用matlab进行了仿真,验证了实验结果。-This article will SOM (self-organizing feature map) and PNN (probability) neural network is applied to fault diagnosis of diesel engine, first introduce
somtoolbox2_Mar_17_2005
- 自组织映射(SOM)的相关使用程序,内有说明文档,有简单demo可以用来演示和理解程序。-code about self-organizing map, document of how to use are inside,and demo inside
somsh
- 基于自组织型神经网络SOM的分类,自动选取不同神经元的个数。-Based on self-organizing neural network SOM classification, automatically selects the number of different neurons.
self-organizing-map-Kohonen
- last som methods for clustering hope usefu-last som methods for clustering hope usefull
competitive
- 自组织竞争神经网络对数据聚类效果观察实验。-Self-organizing competitive neural network for data clustering effect observation experiment...
RBF
- 神经网络,RBF聚类法和RBF自组织法的函数逼近的实现-Neural network, RBF clustering method and self-organizing RBF function approximation method to achieve
SOM
- matlab 实现的自组织竞争神经网络SOM算法程序(没有使用ANN工具箱)。可供初学者参考学习使用。-SOM self-organizing competitive neural network algorithm matlab implementation of the program (not using ANN toolbox). Reference for beginners to learn to use.
SOM-introduction
- SOM自组织特征映射神经网络原理讲解。写的很细致,适合初学者参考学习使用。-SOM self-organizing feature map neural network theory to explain. Write very detailed, suitable for beginners learning to use.
ASCSNN
- 自组织竞争神经网络应用实例,共有12的例子。-The self-organizing competitive neural network applications, a total of 12 examples.
matlab-sync-desync
- 基于萤火虫的无线传感器网络的同步和去同步时间算法-Self-organizing Synchronization and Desynchronization in Wireless Sensor Networks
somtoolbox
- 自组织特征映射神经网络是一类无导师学习的神经网络模型可用于聚类分析-Self-organizing neural network is a kind of unsupervised learning neural network model can be used for cluster analysis
ImageSOMQuantization
- This package implements vectoriel quantization according Self Organizing Map paradigm It allows to : 1. generate a codebook training images set 2. reconstruct a test image according to the generated codebook 3. ute the Peak Signal to Noise R
k-meansaSOFM
- 已知一组二维模式矢量如下(20个),利用k均值聚类算法将模式集分类,并计算出聚类中心。利用输入层为2个神经元,输出层结构为7*7方阵的自组织映射(SOFM)对同样模式进行聚类-Given a set of two-dimensional pattern vector as follows (20), the use of k-means clustering algorithm to classify the pattern set, and calculate the cluster cent
A1SOM
- SOM神经网络,Self-Organizing Map 的缩写,即自组织映射。 1981年芬兰Helsink大学的T.Kohonen教授提出一种自组织特征映射网,简称SOM网,又称Kohonen网。 Kohonen认为:一个神经网络接受外界输入模式时,将会分为不同的对应区域,各区域对输入模式具有不同的响应特征,而且这个过程是自动完成的。自组织特征映射正是根据这一看法提出来的,其特点与人脑的自组织特性相类似。 由于它的强大功能,多年来,神经网络在数据分类、知识获取、过程监测、故障识别等领域