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Search - fuzzy mean - List
【
Picture Viewer
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New-Compressed-(zipped)-Folder
DL : 0
this a function of mean filter with fuzzy logic and is perform of one input one output-this is a function of mean filter with fuzzy logic and is perform of one input one output
Update
: 2024-03-29
Size
: 1024
Publisher
:
ehab
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AI-NN-PR
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FNN
DL : 0
非常好用的模糊神经网络程序,中间的K-mean方法比较简单,自己添加以下即可!-The program very easy to use fuzzy neural network, k-mean middle part is relatively simple, what you can add your own!
Update
: 2024-03-29
Size
: 2048
Publisher
:
尹会进
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mathematica
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bidaxiao
DL : 0
三角模糊数大小的比较。结合均值与方差的综合比较方法-Compare the size of triangular fuzzy numbers. Comprehensive comparison method combining mean and variance
Update
: 2024-03-29
Size
: 1024
Publisher
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王先芝
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Special Effects
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image
DL : 0
模糊加权均值滤波算法实现lena图像去噪-Improving fuzzy weighted mean filter based on the degree of image noise
Update
: 2024-03-29
Size
: 2048
Publisher
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张丹
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DataMining
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fcm2
DL : 0
简单的模糊c均值的matlab程序,希望对大家有所帮助,如有不对,请告知。-Simple fuzzy C mean Matlab procedures, we want to help, if there is wrong, please let us know.
Update
: 2024-03-29
Size
: 1024
Publisher
:
郭飞
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Other
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cmohu
DL : 0
C均值聚类算法的MATLAB程序,在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功-C mean clustering algorithm MATLAB procedures, in many fuzzy clustering algorithm, fuzzy C- means (FCM) algorithm is the most widely used and successful
Update
: 2024-03-29
Size
: 1024
Publisher
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科研
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Special Effects
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FCM
DL : 0
自己编写的matlab程序,实现了图像的模糊C均值分割,没有调用工具箱里的fcm函数,里面的图像,代码文件齐全,亲测可用-I have written the matlab program,did not call the toolbox FCM function to achieve the image of the fuzzy C mean segmentation. The code file is complete, can be debugged.
Update
: 2024-03-29
Size
: 202752
Publisher
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王福
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Special Effects
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fourth-order
DL : 0
采用邻域平均法的均值滤波器非常适用于去除通过扫描得到的图像中的颗粒噪声。领域平均法有力地抑制了噪声,同时也由于平均而引起了模糊现象,模糊程度与领域半径成正比。-Neighborhood average method is used to mean filter is very suitable for removing particulate noise in the image is obtained by scanning.Area average method effectively suppress the noise, but also caused the fuzzy phenomenon, due to the average fuzzy degree is proportional to the area radius.
Update
: 2024-03-29
Size
: 1024
Publisher
:
周文涛
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2D Graphic
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oriFCMimg
DL : 0
模糊C均值聚类的图像分割算法,基于标准的模糊C均值聚类的图像分割算法,可以手动调整要分类的类别,最后输入分类好的图像-Image segmentation method based on standard fuzzy C mean clustering
Update
: 2024-03-29
Size
: 105472
Publisher
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kk
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Special Effects
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Desktop
DL : 0
BMP模糊和锐化1. 图像的均值模糊滤波采用的方法比较简单,对于每一个像素,进行一个mask的修正,在以该像素为中心的m*m的方阵中,求取改mask中的一个加权均值,程序中直接采用权值都为1,进行简单的模糊操作。-BMP image blurring and sharpening method mean blur filtering is relatively simple, for each pixel, correction of a mask, in pixels, in the center of the m* m square, the strike in the change mask a weighted mean, the program directly weights are 1, simple fuzzy operation.
Update
: 2024-03-29
Size
: 2048
Publisher
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Special Effects
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mat
DL : 0
文件中包含了使用模糊C-均值实现聚类分割的算法原理以及MAtlab源程序,程序运行效果不错,也有注释-File contains the use of fuzzy C- mean clustering algorithm to achieve the principle of clustering and MAtlab source code, the program runs well, there are comments
Update
: 2024-03-29
Size
: 618496
Publisher
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bak56
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Special Effects
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My-clustering-algorithm
DL : 0
自己编写的模糊c均值聚类算法MATLAB实现-My preparation of fuzzy C mean clustering algorithm MATLAB implementation
Update
: 2024-03-29
Size
: 12288
Publisher
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汪美美
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matlab
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day2
DL : 0
fuzzy c mean clustering, fuzzy edge detection of an medical image
Update
: 2024-03-29
Size
: 2048
Publisher
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ranjithauma
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Special Effects
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FCM
DL : 0
FCM+KFCM模糊C均值聚类分析算法matlab代码,有界面,有图片,运行正常-FCM+KFCM fuzzy C mean clustering algorithm ,matlab code, there are interfaces, pictures, running normal
Update
: 2024-03-29
Size
: 402432
Publisher
:
姚建国
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DataMining
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FCMCluster
DL : 0
模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。在众多模糊聚类算法中,模糊C-均值( FCM) 算法应用最广泛且较成功,它通过优化目标函数得到每个样本点对所有 您输入的可能是:英语 Fuzzy c- mean clustering algorithm fuzzy c-means algorithm (FCMA) or (FCM). Fuzzy C- means (FCM) algorithm is the most widely used and successful in many fuzzy clustering algorithms
Update
: 2024-03-29
Size
: 1024
Publisher
:
曹霞
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matlab
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66357
DL : 0
This network uses gaussian membership functions with two free parameters: mean and variance. The total number of these parameters is M*N, where M is the number of rules, N is the number of inputs. There is a hidden set of parameters of tsk-functions which perform a linear convolution of fuzzy inference outputs with a set of coefficiants. Total number of these parameters is M*(N+1). So the total amount of adjusted parameters is 2*M*N + M. -This network uses gaussian membership functions with two free parameters: mean and variance The total number of these parameters is M* N, where M is the number of rules, N is the number of inputs There is a hidden set of parameters of tsk..-functions which perform a linear convolution of fuzzy inference outputs with a set of coefficiants. Total number of these parameters is M* (N+1). So the total amount of adjusted parameters is 2* M* N+ M.
Update
: 2024-03-29
Size
: 207872
Publisher
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陳冠廷
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Industry research
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phd6-(1).ZIP
DL : 0
it is about fuzzy c mean algorithm
Update
: 2024-03-29
Size
: 468992
Publisher
:
jaychand upadhyay
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Special Effects
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pictureBlur
DL : 0
对图像进行均值滤波操作,模糊一张图像,主要使用均值滤波操作的blur函数。-Average filtering operation of the image, fuzzy image, the main use of mean filtering operations blur function.
Update
: 2024-03-29
Size
: 3719168
Publisher
:
王二
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matlab
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99768411ChooseInitialCentres
DL : 0
模糊C均值初始聚类中心的选择,供初学者参考(Fuzzy C mean initial clustering center selection, for beginners reference)
Update
: 2024-03-29
Size
: 55296
Publisher
:
ggsdduman
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matlab
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模糊C均值
DL : 0
简单实用的模糊C均值源代码,适合新手,本代码适用于数据处理方面的朋友(Simple and practical fuzzy C mean source code, suitable for beginners)
Update
: 2024-03-29
Size
: 1024
Publisher
:
牧羊人1
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