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神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
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自组织特征映射网络进行图像分类识别(神经网络实用教程)-Self-organizing feature map network image classification Recognition [Neural Network Practical Guide]
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SOM-sd 是现在国外非常流行的一个神经网络的结构自组织特征映射算法-SOM-sd are now very popular abroad, a neural network structure of self-organizing feature map algorithm
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一维自组织特征映射网络对输入向量空间进行识别分类-One-dimensional self-organizing feature map network input vector space to identify categories
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利用自组织特征映射网络实现对图像中物体的自动分类算法。-The use of self-organizing feature map network objects on the image automatic classification algorithm.
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Matlab7.0的Kohonen的SOFM(自组织特征映射)源程序-Matlab7.0 of Kohonen' s SOFM (self-organizing feature map) source
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Kohonen的SOFM(自组织特征映射)源程序-Kohonen' s SOFM (self-organizing feature map) source
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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
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Kohonen self-organizing feature map
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基于自组织特征映射网络矢量量化图像压缩的研究与实现-Based on self-organizing feature map vector quantization for image compression research and Implementation
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SOM网络即自组织特征映射网络,采用竞争学习规则——Winner-Take-All 。网络的输出神经元之间相互竞争以求被激活,结果在每一时刻只有一个输出神经元被激活。这个被激活的神经元称为竞争获胜神经元,而其它神经元的状态被抑制,故称为Winner Take All。SOM网络是以生物学为基础,其运行分为训练和工作两个阶段。-SOM network self- organizing feature map network, competitive learning rule- Winner- T
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用自组织特征映射神经网络对Iris数据集进行分类,我用神经网络工具箱编写了个简单的程序,实现iris的分类。-Using self-organizing feature map neural network examples of clustering Iris data set classification, I use neural network toolbox to write a simple program, realize the classification of Iris.
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自组织特征映射神经网络SOM资料,SOM原理和实现方法、应用-The SOM data self-organizing feature map neural network, SOM principle and method, application
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本程序实现了Matlab 基于SOFM(自组织特征映射神经元网络)颜色聚类图像分割。-This application implements the Matlab based on SOFM (self-organizing feature map neural network) color clustering image segmentation.
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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 ~
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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
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1.基于概率神经网络的手写体数字识别
2.径向基网络预测地下水位
3.BP神经网络实现图像压缩
4.Elman网络预测上证股市开盘价
5.基于自组织特征映射网络的亚洲足球水平聚类-1. Identify 2. RBF neural network forecasting of groundwater 3.BP neural network image compression 4.Elman network forecasting the stock market opened o
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som自组织神经,简单易懂,适合新手,完全自动化-Self Organizing Feature Map
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最大似然(ML)准则和最大后验概率(MAP)准则,计算多重分形非趋势波动分析,多元数据分析的主分量分析投影,是学习PCA特征提取的很好的学习资料,isodata 迭代自组织的数据分析,插值与拟合,解方程,数据分析。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Calculate the multifractal trend fluctuation analysis, Principal c
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在matlab环境中自动识别连通区域的大小,迭代自组织数据分析,感应双馈发电机系统的仿真,调试通过可以使用,通过虚拟阵元进行DOA估计,最大似然(ML)准则和最大后验概率(MAP)准则。-Automatic identification in the matlab environment the size of the connected area, Iterative self-organizing data analysis, Simulation of doubly fed inducti
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