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数值算法/人工智能 */ /* A Function Optimizer using Simple Genetic Algorithm */ /* developed from the Pascal SGA code
*/
/* A Function Optimizer using Simple Genetic Algorithm */
/* developed from the Pascal SGA code presented by David E.Goldberg */
/* 同济大学计算机系 王小平 2000年5月
数值算法/人工智能 sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image f
sfrmat is a Matlab function that provides a spatial frequency response* (SFR) from a digital image file containing a slanted-edge feature. The specific edge-gradient algorithm follows the intent of the standard ISO 12233, developed by Technical Committee ISI/TC 42, for resolution measurements for el ...
其他 clock function for reference before doing homework
clock function for reference before doing homework
软件设计/软件工程 自制Multi-ICE仿真器资料,比较完整.
自制Multi-ICE仿真器资料,比较完整.
Jsp/Servlet java的一个开发包function scrollwindow() { currentpos=document.body.scrollTop window.scroll(0,++current
java的一个开发包function scrollwindow()
{
currentpos=document.body.scrollTop
window.scroll(0,++currentpos)
if (currentpos != document.body.scrollTop)
sc()
}
document.onmousedown=sc
document.ondblclick=initialize
</script>
<style type="text/css">
<!--
.style1 {color: #CCCCCC}
--> ...
人工智能/神经网络 一个基于Matlab的人工免疫算法％Immune Algorithm based on the immune network model for function f(x1,x2) optimum
一个基于Matlab的人工免疫算法％Immune Algorithm based on the immune network model for function f(x1,x2) optimum
RFID编程 HF Reader System Series 6000 S6700 Multi-Protocol Transceiver IC RI-R6C-001A
HF Reader System Series 6000 S6700 Multi-Protocol Transceiver IC RI-R6C-001A
人工智能/神经网络 基于基本遗传算法的函数最优化 A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA cod
基于基本遗传算法的函数最优化 A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code presented by David E.Goldber
数学计算 求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差
> function c=myfunction(x)
> [m,n]=size(x)
> t=0
> for i=1:numel(x)
> t=t+x(i)*x(i)
> end
> c=sqrt(t/(m*n-1))
function c=myfunction(x)
[m,n]=size(x)
t=0
for i=1:m
for j=1:n
t=t+x(i,j)*x(i,j)
end
end
c=sqrt(t/(m*n-1
数学计算 求标准偏差 > function c=myfunction(x) > [m,n]=size(x) > t=0 > for i=1:numel(x) >
求标准偏差
> function c=myfunction(x)
> [m,n]=size(x)
> t=0
> for i=1:numel(x)
> t=t+x(i)*x(i)
> end
> c=sqrt(t/(m*n-1))
function c=myfunction(x)
[m,n]=size(x)
t=0
for i=1:m
for j=1:n
t=t+x(i,j)*x(i,j)
end
end
c=sqrt(t/(m*n-1