代码搜索：Generalized
找到约 2,645 项符合「Generalized」的源代码
代码结果 2,645
www.eeworm.com/read/428849/8834991
m~ contents.m~
% Statistical Pattern Recognition Toolbox (STPRtool).
% Version 2.04 22-Dec-2004
%
% Bayesian classification.
% bayescls - Bayesian classifier with reject option.
% bayesdf
www.eeworm.com/read/379733/9179873
m gminus.m
function y=gminus(x1,x2)
%GMINUS Generalized minus.
% C = GMINUS(A,B) subtracts matrix Y from X.
% The dimensions of the two operands are compared and singleton
% dimensions in one are copied
www.eeworm.com/read/377494/9274580
m xnewgrnn.m
function xNewgrnn
% xNewgrnn.m
% 函数逼近(function approximation)--用函数NEWGRNN()和SIM()创建和仿真
% 普遍化回归神经网络(generalized regression neural network,GRNN)
%
% Author: HUANG Huajiang
% Copyright 2003 U
www.eeworm.com/read/376425/9317747
m xnewgrnn.m
function xNewgrnn
% xNewgrnn.m
% 函数逼近(function approximation)--用函数NEWGRNN()和SIM()创建和仿真
% 普遍化回归神经网络(generalized regression neural network,GRNN)
%
% Author: HUANG Huajiang
% Copyright 2003 U
www.eeworm.com/read/374797/9384002
m generalizedgriewankfunction.m
clear
%[x,y] = meshgrid(-600:6:600);
[x,y] = meshgrid(-50:0.1:50);
z=1/4000*(x.^2+y.^2)-(cos(x)).*(cos(y./(sqrt(2))))+1;
mesh(x,y,z);
title('Generalized Griewank Function','FontSize',16);
%axi
www.eeworm.com/read/374797/9384010
m generalizedpenalizedfunction.m
clear
[x,y] = meshgrid(-50:0.5:50);
yy1=1+(x+1)/4;
yy2=1+(y+1)/4;
l=size(x,1);
for i=1:l
for j=1:l
if x(i,j)>10
u1(i,j)=100*(x(i,j)-10)^4;
elseif x(i,j)
www.eeworm.com/read/374797/9384012
m generalizedpenalizedfunction2.m
clear
[x,y] = meshgrid(-50:0.5:50);
yy1=1+(x+1)/4;
yy2=1+(y+1)/4;
l=size(x,1);
for i=1:l
for j=1:l
if x(i,j)>10
u1(i,j)=100*(x(i,j)-10)^4;
elseif x(i,j)
www.eeworm.com/read/374797/9384017
m generalizedschwefelsproblem226.m
clear
[x,y] = meshgrid(-500:5:500);
z=-x.*sin(sqrt(abs(x)))-y.*sin(sqrt(abs(y)));
mesh(x,y,z);
title('Generalized Schwefel''s Problem 2.26','FontSize',16);
%axis([-100,100,-100,100,0,10000]);
www.eeworm.com/read/374797/9384030
m generalizedrosenbrocksfunction.m
clear
[x,y] = meshgrid(-30:0.3:30);
z=100*((y-(x.^2)).^2)+((1-x).^2);
mesh(x,y,z);
title('Generalized Rosenbrock''s Function','FontSize',16);
%axis([-100,100,-100,100,0,10000]);