代码搜索：Generates
找到约 10,000 项符合「Generates」的源代码
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www.eeworm.com/read/299984/7140628
m istrained.m
%ISTRAINED Test on trained mapping
%
% I = ISTRAINED(W)
% ISTRAINED(W)
%
% True if the mapping type of W is 'trained' (see HELP MAPPINGS). If
% called without an output argument ISTRAINED gener
www.eeworm.com/read/299984/7140651
m isuntrained.m
%ISUNTRAINED Test on untrained mapping
%
% I = ISUNTRAINED(W)
% ISUNTRAINED(W)
%
% True if the mapping type of W is 'untrained' (see HELP MAPPINGS).
% If called without an output argument ISUNTR
www.eeworm.com/read/299984/7140703
m gendatsin.m
%GENREGSIN Generate sinusoidal regression data
%
% X = GENDATSIN(N,SIGMA)
%
% INPUT
% N Number of objects to generate
% SIGMA Standard deviation of the noise
%
% OUTPUT
% X Reg
www.eeworm.com/read/464335/7165252
m randmcg.m
function r = randmcg(p,q)
%RANDMCG Multiplicative congruential uniform random number generator.
% Based on the parameters used by MATLAB version 4.
% The statement
% r = randmcg
% genera
www.eeworm.com/read/463748/7175931
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/463748/7175950
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/463748/7176030
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables w
www.eeworm.com/read/463748/7176073
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/463748/7176119
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me
www.eeworm.com/read/462323/7202780
m gngauss.m
function [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(m,sgma)
% [gsrv1,gsrv2]=gngauss(sgma)
% [gsrv1,gsrv2]=gngauss
% GNGAUSS generates two independent Gaussian random variables with me