代码搜索:Mexican

找到约 150 项符合「Mexican」的源代码

代码结果 150
www.eeworm.com/read/342704/12005329

m mexican.m

%====================================================================== % Copyright (C) 2005 % All rights reserved. % File name: Mexican.m % Notes: 应
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asv mexican.asv

%====================================================================== % Copyright (C) 2005 % All rights reserved. % File name: myself.m % Notes: 应用
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m mexican_hat.m

function out1 = mexican_hat(in1,in2,in3,in4) %TEMPLATE_TRANSFER Template transfer function. % % WARNING - Future versions of the toolbox may require you to update % custom functions. % % Dire
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m mexican_hat.m

function a = mexican_hat(t) a=(1-t.^2).*exp(-t.^2/2.);
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txt readme.txt

这是实现小波神经网络的程序 用小波函数做神经网络的激活函数 适用于MATLAB7.0以上版本 把mexican_hat与dmexican_hat放入work目录下面 就可以直接调用小波函数mexican_hat作为神经网络的激活函数了 例: net=newff(maxmin(P),[n,m],{'mexican_hant','logsig'})
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m wt04fig06.m

% CAPTION fprintf('\n'); disp('Figure 4.6') disp('Left: graph of the Mexican hat wavelet, equal to minus the second') disp('derivative of a Gaussian.') disp('Right: graph of the Fourier transform
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m wt04fig06.m

% CAPTION fprintf('\n'); disp('Figure 4.6') disp('Left: graph of the Mexican hat wavelet, equal to minus the second') disp('derivative of a Gaussian.') disp('Right: graph of the Fourier transform
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m mexicanhat.m

% ========================================================== % % Neural Networks A Classroom Approach % Satish Kumar % Copyright Tata McGraw Hill, 2004
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m mexicanhat.m

% ========================================================== % % Neural Networks A Classroom Approach % Satish Kumar % Copyright Tata McGraw Hill, 2004
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m 例程9-22.m

% 设置有效支撑和网格参数 lb = -5; ub = 5; n = 1000; % 计算并画出 Mexican hat小波 [psi,x] = mexihat(lb,ub,n); plot(x,psi); title('Mexican hat 小波')