代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/409724/11315165
m select1.m
function[newPop,newquanzhi] = select1(oldPop,out1,quanzhi)
% roulette is the traditional selection function with the probability of
% surviving equal to the fitness of i / sum of the fitness of all
www.eeworm.com/read/407047/11430902
m calccovpdl.m
%CALCCOVPDL CALCCOVPDL calculates the area coverage probability for a DL dedicated
% channel. It uses the traffic load (i.e. BS transmit powers) which has
% been generate
www.eeworm.com/read/402420/11535194
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%
www.eeworm.com/read/400581/11572445
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%
www.eeworm.com/read/400444/11576542
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%
www.eeworm.com/read/158362/11623301
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%
www.eeworm.com/read/158037/11648120
m multipdf.m
function p = multipdf(x,theta)
%MULTIPDF Multinomial probability density function.
% p = multipdf(x,theta) returns the probabilities of
% vector x, under the multinomial distribution
% with par
www.eeworm.com/read/347338/11671472
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%
www.eeworm.com/read/157533/11693313
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%
www.eeworm.com/read/345952/11777843
m multinonunifmutation.m
function [parent] = multiNonUnifMutation(parent,bounds,Ops)
% Multi-Non uniform mutation changes all of the parameters of the parent
% based on a non-uniform probability distribution. This Gaussian
%