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Neuro-Fuzzy-master

于 2019-04-02 发布

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下载积分: 1 下载次数: 18

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代码说明：

说明：模糊神经网络的实现用于控制，优化等自动领域(Algoritmo de inferencia difusa ANFIS Takagi-sugeno)

文件列表：

Neuro-Fuzzy-master, 0 , 2017-01-07
Neuro-Fuzzy-master\Network.m, 3703 , 2017-01-07
Neuro-Fuzzy-master\Neuron.m, 1403 , 2017-01-07
Neuro-Fuzzy-master\RBFnetwork.m, 4905 , 2017-01-07
Neuro-Fuzzy-master\RBFneuron.m, 1657 , 2017-01-07
Neuro-Fuzzy-master\README.md, 59 , 2017-01-07
Neuro-Fuzzy-master\TSK.fis, 873 , 2017-01-07
Neuro-Fuzzy-master\createDataset.m, 3140 , 2017-01-07
Neuro-Fuzzy-master\main.m, 648 , 2017-01-07
Neuro-Fuzzy-master\net.mat, 25818933 , 2017-01-07
Neuro-Fuzzy-master\net2.mat, 24042787 , 2017-01-07
Neuro-Fuzzy-master\pendulum.m, 1155 , 2017-01-07
Neuro-Fuzzy-master\test.m, 1058 , 2017-01-07
Neuro-Fuzzy-master\train.m, 716 , 2017-01-07

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ch2
Matlab讲义高级第2章，大家分享一下(Matlab senior notes in Chapter 2, we share)

2008-01-01 13:45:31下载

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bilinear_interpolation
I_in - 输入待放大图像 N - 放大系数 I_out - 返回的放大图像">

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bp
说明：用多层前向网络的BP算法拟合函数说明：1）网络结构为三层（输入层、1个隐层和输出层）； 2）获取两组数据，一组作为训练集，一组作为测试集； 3）用训练集训练网络； 4）用测试集检验训练结果。(Fitting the function with BP algorithm of multilayer forward network)

2017-08-08 15:43:17下载

积分：1
rgb2bayer
以全彩图像为输入，根据bayer cfa输出raw图像。附有操作例图。(With full color images as input, output based on raw bayer cfa image. With the operation of FIG.)

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小波去噪方法，matlab语言描写，简单实用(Wavelet denoising, matlab language to describe simple and practical)

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本文利用simulink建立了并联机构位姿正解(the forward solution model based on simulink)

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估算在给定门限下常用输入信号的带宽。函数将代表待分析波形的矢量signal作为输入(estimate in a given threshold under the common input signal bandwidth. Function will be representative of the waveform analysis as input vector signal)

2007-03-27 19:59:02下载

积分：1
EvaluationDescriptor
evaluation descriptor in matlab.

2012-10-15 15:38:10下载

积分：1
多种群遗传算法
说明：多种群遗传算法的函数优化算法，通过多个种群之间的相互交流，加强遗传算法的寻优能力(The function optimization algorithm of multi population genetic algorithm strengthens the optimization ability of genetic algorithm through the mutual communication of multi population)

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DBSCAN
Matlab ------------------------------------------------------------------------- Function: [class,type]=dbscan(x,k,Eps) ------------------------------------------------------------------------- Aim: Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN) -------------------------------------------------------------------------

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积分：1

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