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30045836Fuzzy_K
matlab code for fuzzy controller
- 2010-11-24 15:52:06下载
- 积分：1
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MATLAB70ch8
说明： 《MATLAB 7.0编程基础》第8章 （源码实例）主要讲解MATLAB图形用户界面设计("MATLAB 7.0 programming foundation" Chapter 8 (source code examples) mainly on MATLAB graphical user interface design)
- 2006-03-20 23:44:33下载
- 积分：1
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MLIsimple
MLI triphasé onduleur
- 2012-04-23 21:09:22下载
- 积分：1
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sri-cognitive
Optimization In cooperative spectrum sensing in Cognitive radio network
- 2014-09-03 13:07:57下载
- 积分：1
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XieLvDuiShu2
1、利用自相关法找出含有大量数据的周期信号的周期 2、利用互相关对齐含有大量数据的多路采样信号以便分析 3、使用分段平滑经过求导后的含有干扰的图像曲线(1, using the autocorrelation method contains large amounts of data to identify the period of the periodic signal 2, using the cross-correlation contains a large amount of data aligned with the sampling signal for the multiplexed analysis, the use of segmented through derivative after smoothing with interference by the image curve)
- 2013-10-22 16:37:12下载
- 积分：1
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GRNN
说明： MATLAB 神经网络源码GRNN的数据预测-基于广义回归神经网络货运量预测(MATLAB neural network source code GRNN data forecast-based generalized regression neural network freight volume forecast)
- 2020-05-08 08:57:05下载
- 积分：1
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GA
说明： Genetic Algorithm for solve\ing 2degree Equation
- 2010-11-28 23:31:44下载
- 积分：1
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SVM
支持向量机的MATLAB实现，能自动完成数据的分类功能。(MATLAB support vector machines to achieve, can auto-complete the classification of functional data.)
- 2009-07-03 19:03:01下载
- 积分：1
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work111.rar
说明： 名称:work111
大小: 9KB
完成时间:Wed Aug 17 16:30:23 2005
基于SIMULINK的模糊控制系统仿真程序
(name : work111 Size : File completion : Mon Aug 17 16:30:23 2005 Simulation of Fuzzy Control System Simulation Program)
- 2005-09-14 14:40:46下载
- 积分：1
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otsu
OTSU Gray-level image segmentation using Otsu s method.
Iseg = OTSU(I,n) computes a segmented image (Iseg) containing n classes
by means of Otsu s n-thresholding method (Otsu N, A Threshold Selection
Method from Gray-Level Histograms, IEEE Trans. Syst. Man Cybern.
9:62-66 1979). Thresholds are computed to maximize a separability
criterion of the resultant classes in gray levels.
OTSU(I) is equivalent to OTSU(I,2). By default, n=2 and the
corresponding Iseg is therefore a binary image. The pixel values for
Iseg are [0 1] if n=2, [0 0.5 1] if n=3, [0 0.333 0.666 1] if n=4, ...
[Iseg,sep] = OTSU(I,n) returns the value (sep) of the separability
criterion within the range [0 1]. Zero is obtained only with images
having less than n gray level, whereas one (optimal value) is obtained
only with n-valued images.
- 2009-03-17 17:57:51下载
- 积分：1
