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人工智能/神经网络 This a simple genetic algorithm implementation where the evaluation function takes positive values

This a simple genetic algorithm implementation where the evaluation function takes positive values only and the fitness of an individual is the same as the value of the objective function
https://www.eeworm.com/dl/650/159810.html
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其他 * Function: * 1. Replace the first oldstr with newstr in srcstr * Arguments: * IN : * srcst

* Function: * 1. Replace the first oldstr with newstr in srcstr * Arguments: * IN : * srcstr * oldstr * newstr * OUT : * srcstr * Return: * 1. If find and replace one oldstr with newstr in srcstr , return 1 * 2. If find no oldstr in srcstr , return 0 * 3. If error (malloc return NULL) ...
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matlab例程 Matlab官方文档:Matlab函数参考第一卷function reference volumn 1 A_E

Matlab官方文档:Matlab函数参考第一卷function reference volumn 1 A_E
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matlab例程 Matlab官方文档:Matlab函数参考function reference F_O

Matlab官方文档:Matlab函数参考function reference F_O
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文章/文档 Matlab官方文档:Matlab函数参考第三卷function reference volumn3 P_Z

Matlab官方文档:Matlab函数参考第三卷function reference volumn3 P_Z
https://www.eeworm.com/dl/652/162215.html
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matlab例程 matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) % 用途:选列主元Gauss消去法解线性方程组ax=b % 格式:x=nagauss2(a,b,fl

matlab解线性方程组的源代码 function x=nagauss2(a,b,flag) % 用途:选列主元Gauss消去法解线性方程组ax=b % 格式:x=nagauss2(a,b,flag) a为系数矩阵,b为右端列向量,flag若为0,则显示中间过程
https://www.eeworm.com/dl/665/163126.html
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人工智能/神经网络 BAYESDEMO1 demo how to display discriminat function for Bayes classifier.

BAYESDEMO1 demo how to display discriminat function for Bayes classifier.
https://www.eeworm.com/dl/650/164017.html
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matlab例程 best squre approach of function

best squre approach of function
https://www.eeworm.com/dl/665/164941.html
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人工智能/神经网络 This program demonstrates some function approximation capabilities of a Radial Basis Function Networ

This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for ...
https://www.eeworm.com/dl/650/165307.html
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数据结构 最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function)

最小平方近似法 (least-squares approximation) 是用來求出一組離散 (discrete) 數據點的近似函數 (approximating function),作實驗所得的數據亦常使用最小平方近似法來達成曲線密合 (curve fitting)。以下所介紹的最小平方近似法是使用多項式作為近似函數,除了多項式之外,指數、對數方程式亦可作為近似函數。關於最小平 ...
https://www.eeworm.com/dl/654/166777.html
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