代码搜索：Probability

找到约 4,670 项符合「Probability」的源代码

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www.eeworm.com/read/320711/13419746

m ga3d.m

function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm); % % Ph.D. Thesis % Leandro Nunes de Castro % November, 1999. % ENHANCED GENETIC ALGORITHM - Bi-classist Selection % % Secondary functions: DECODE &
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www.eeworm.com/read/319604/13448373

m ga3d.m

function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm); % % Ph.D. Thesis % Leandro Nunes de Castro % November, 1999. % ENHANCED GENETIC ALGORITHM - Bi-classist Selection % % Secondary functions: DECODE &
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www.eeworm.com/read/318416/13479366

m gamainproc.m

function GAMainProc() global Pm global Pc %probability of crossover global chromosome global everyGenResult global boundGen %
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www.eeworm.com/read/318416/13479377

m gatotal.m

function GATotal() global Pm global Pc %probability of crossover global chromosome global everyGenResult global boundGen %
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www.eeworm.com/read/318416/13479389

m gatmainproc.m

function GATMainProc() % This program is the project of jiing in 2002 global Pm global Pc %probability of crossover global chromosome global everyGenResult global boundGen %
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www.eeworm.com/read/318416/13479390

m gat_stat.m

%find out the statistics of genetic algorithms %and draw the bar chart or pie chart %The statistics are: %1. the 1st generation # that appear the optimal solution %2. The optimal solution ratio
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www.eeworm.com/read/317663/13500078

m rsma1.m

er=0:.005:.03; Er=ones(21,1)*er; for n=1:length(er) errB=Er(:,n); sim('RSma.mdl') S(n)=[mean(s)]'; EN(n)=[er(n)]'; end plot(EN,(S)) grid xlabel('channel erro probability') ylabel('e
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www.eeworm.com/read/314474/13566471

html prob.html

Prob Prob NAME Prob - Probabilities for SRILM SYNOPSIS #include <Pro
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www.eeworm.com/read/314474/13566528

3 prob.3

.\" $Id: Prob.3,v 1.1 1996/07/13 01:35:40 stolcke Exp $ .TH Prob 3 "$Date: 1996/07/13 01:35:40 $" SRILM .SH NAME Prob \- Probabilities for SRILM .SH SYNOPSIS .B "#include " .SH DESCRIPTION .B
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www.eeworm.com/read/313963/13577575

m randint2.m

function out = randint2(varargin); %RANDINT Generate matrix of uniformly distributed random integers. % OUT = RANDINT generates a "0" or "1" with equal probability. % % OUT = RANDINT(M) genera
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