代码搜索：概率分析
找到约 10,000 项符合「概率分析」的源代码
代码结果 10,000
www.eeworm.com/read/439857/7700264
m m06_huffman.m
function [h,l]=m06_huffman(P);
%HUFFMAN Huhhman code generator
if length(find(P10e-10,
error('Not a prob
www.eeworm.com/read/245506/12797148
m m06_huffman.m
function [h,l]=m06_huffman(P);
%HUFFMAN Huhhman code generator
if length(find(P10e-10,
error('Not a prob
www.eeworm.com/read/307694/13717358
m variancech.m
%函数(10)：变异函数
%基因变异.染色体群中的1/10变异。vR是变异概率。solutionN是解空间中全部可能解的个数
function aberranceChromosomeGroup=varianceCh(chromosomeGroup,vR,solutionN)
[chromosomeSum,chromosomeLength]=size(chromosomeGroup);
if
www.eeworm.com/read/305524/13766657
m mutation.m
function popnew=mutation(pop,pmut,n,length)
%变异函数
%pmut为变异概率
k=1;
while k
www.eeworm.com/read/304826/13786048
txt 06-93.txt
例6-93 使用capaplot函数绘制样本的概率图形。
>> DATA= normrnd(0,1,100,1);
>> capaplot(DATA,[-3,3])
ans =
0.9976
>> [P, H] = capaplot(DATA,[-3,3])
P =
0.9976
H =
106.0010
3.0065
102.0020
>
www.eeworm.com/read/492319/6421454
m mutation.m
function popnew=mutation(pop,pmut,n,length)
%变异函数
%pmut为变异概率
k=1;
while k
www.eeworm.com/read/480529/6665714
txt 06-93.txt
例6-93 使用capaplot函数绘制样本的概率图形。
>> DATA= normrnd(0,1,100,1);
>> capaplot(DATA,[-3,3])
ans =
0.9976
>> [P, H] = capaplot(DATA,[-3,3])
P =
0.9976
H =
106.0010
3.0065
102.0020
>
www.eeworm.com/read/156874/11757864
txt 06-93.txt
例6-93 使用capaplot函数绘制样本的概率图形。
>> DATA= normrnd(0,1,100,1);
>> capaplot(DATA,[-3,3])
ans =
0.9976
>> [P, H] = capaplot(DATA,[-3,3])
P =
0.9976
H =
106.0010
3.0065
102.0020
>
www.eeworm.com/read/216389/15015341
txt 06-93.txt
例6-93 使用capaplot函数绘制样本的概率图形。
>> DATA= normrnd(0,1,100,1);
>> capaplot(DATA,[-3,3])
ans =
0.9976
>> [P, H] = capaplot(DATA,[-3,3])
P =
0.9976
H =
106.0010
3.0065
102.0020
>
www.eeworm.com/read/206590/15293476
txt 文本文档.txt
function [bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)
%
%————————————————————————
%[bestpop,trace]=ga(d,termops,num,pc,cxops,pm,alpha)
%d:距离矩阵
%termops:种群代数
%num:每代染色体的个数
%pc:交叉概率
%cxop