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matlab例程 用Jacobi叠待法解线性方程组 function Jacobi(A,b,n,x0,e,N)

用Jacobi叠待法解线性方程组 function Jacobi(A,b,n,x0,e,N)
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数值算法/人工智能 基于基本遗传算法的函数最优化 SGA.C A Function Optimizer using Simple Genetic Algorithm developed from the Pasca

基于基本遗传算法的函数最优化 SGA.C A Function Optimizer using Simple Genetic Algorithm developed from the Pascal SGA code presented by David E.Goldberg
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人工智能/神经网络 function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 % Exponent fo

function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 % Exponent for U max_iter = 100 % Max. iteration min_impro =1e-5 % Min. improvement c=3 [center, U, obj_fcn] = fcm(data, c) for i=1:max_iter if F(U)>0.98 break else w_new=eye(in_n,in_n) center1=sum(cent ...
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单片机开发 此为继电器功能测试电路图DDB文件。对应源码为Relay_Function_Tester. keil c51 编写。

此为继电器功能测试电路图DDB文件。对应源码为Relay_Function_Tester. keil c51 编写。
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其他嵌入式/单片机内容 use Holtek HT83F60 flash voice MCU edit,function:Play PCM12 Voice ,sentence ,VOL control,Stop voice

use Holtek HT83F60 flash voice MCU edit,function:Play PCM12 Voice ,sentence ,VOL control,Stop voice demo by PA0~PA7
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人工智能/神经网络 自适应小生境递阶遗传算法求解函数优化问题 想对其他函数求解就修改function函数

自适应小生境递阶遗传算法求解函数优化问题 想对其他函数求解就修改function函数
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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
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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
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其他 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
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其他 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
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