代码搜索：variation
找到约 801 项符合「variation」的源代码
代码结果 801
www.eeworm.com/read/429444/8808314
m variation.m
%对染色体进行变异运算
function NewW=variation(NewW,gc,gm)
%变异率
Pm=0.05;
%计算交叉次数
m=[size(NewW(1).w1,1),size(NewW(1).w2,1),size(NewW(1).b1,1),size(NewW(1).b2,1)];
n=[size(NewW(1).w1,2),size(NewW(1).w2,2),si
www.eeworm.com/read/382017/9057629
m variation.m
%变换法计算分维数
clear
load z1024h3_4.mat%待分析数据
y=z(1:1024)
x=length(y)
n=4%初始窗口数量
time=5%窗口尺度变化次数
for t=1:time
w=x/n%单个窗口的宽度
S(t)=0
% for ii=1:x-w
% Winy=y(ii:ii+w)
f
www.eeworm.com/read/182987/9181369
m variation.m
%对染色体进行变异运算
function NewW=variation(NewW,gc,gm)
%变异率
Pm=0.05;
%计算交叉次数
m=[size(NewW(1).w1,1),size(NewW(1).w2,1),size(NewW(1).b1,1),size(NewW(1).b2,1)];
n=[size(NewW(1).w1,2),size(NewW(1).w2,2),si
www.eeworm.com/read/460329/7253788
m variation.m
function pop=variation(p)
[row,column]=size(p);
for i=1:row
mid=ceil(rand()*column);
p(i,mid)=ceil(rand()*(36-mid+1));
end
pop=p;
www.eeworm.com/read/144103/12817337
m variation.m
%对染色体进行变异运算
function NewW=variation(NewW,gc,gm)
%变异率
Pm=0.05;
%计算交叉次数
m=[size(NewW(1).w1,1),size(NewW(1).w2,1),size(NewW(1).b1,1),size(NewW(1).b2,1)];
n=[size(NewW(1).w1,2),size(NewW(1).w2,2),si
www.eeworm.com/read/459034/1575116
java variation.java
package jmathlib.toolbox.statistics;
import jmathlib.core.functions.*;
import jmathlib.core.tokens.*;
import jmathlib.core.tokens.numbertokens.DoubleNumberToken;
/**
* An external functi
www.eeworm.com/read/298564/3862672
java variation.java
package cai.utils;
/**
* Title:
*
* Description:
*
* Copyright: Copyright (c) 2005
*
* Company:
*
* @author not attributable
* @version 1.0
*/
www.eeworm.com/read/292929/3938334
java variation.java
package org.nebula.goapplet;
import java.util.*;
/**
* Variation
*
* Description:
*
* @author harry
*
*/
public class Variation {
public static final int BORDER_LEFT = 0;
www.eeworm.com/read/386060/8766588
m normalize_variation.m
function [X,H] = normalize_variation(x, H)
% image_coordinate_cormalization balaces the magnitute difference on each
% entry of x. H returns the mean and the standard deviation of the entries.
[dimen
www.eeworm.com/read/382018/9057584
m variation2.m
%方差法
%计算思路:
%1 用宽度为w的窗体覆盖函数。第i个窗口的方差记V(w)=std(yy(x)),x取值范围在窗口宽度内。
%3 将若干宽度w与其相应的V（w）绘制在对数坐标内。用最小二乘法求其斜率a，则分维D=2-a
clear
load z1024h1.mat%待分析数据
% y=C2.'
% y=y(100:612)
y=z(1:1024)
x=length(y