代码搜索:Algorithme

找到约 39 项符合「Algorithme」的源代码

代码结果 39
www.eeworm.com/read/328828/12999883

m jack_genetic_algo.m

function [w]=JGAopt(w0,pop_size,Kga_fin,Max_error) %-------------------------------------------------------------------------- % Djaghloul Mehdi Genetic Algorithme Real code %-------------------
www.eeworm.com/read/148732/12432275

c glouton.c

/*** Algorithme Glouton ***/ #include #include /*** Table p(price) and Table w(weight) ***/ /*** m is the number of total weights ***/ /*** n is the numberof tota
www.eeworm.com/read/430762/8729028

txt vqlbg.txt

function r = vqlbg(d,k) % VQLBG Vector quantization using the Linde-Buzo-Gray algorithme % % Inputs: d contains training data vectors (one per column) % k is number of centroids required
www.eeworm.com/read/451878/7454741

m vqlbg.m

function r = vqlbg(d,k) % VQLBG Vector quantization using the Linde-Buzo-Gray algorithme % % Inputs: d contains training data vectors (one per column) % k is number of centroids required
www.eeworm.com/read/150238/12302611

m vqlbg.m

function r = vqlbg(d,k) % VQLBG Vector quantization using the Linde-Buzo-Gray algorithme % % Inputs: d contains training data vectors (one per column) % k is number of centroids required
www.eeworm.com/read/326814/13115148

m vqlbg.m

function r = vqlbg(d,k) % VQLBG Vector quantization using the Linde-Buzo-Gray algorithme % % Inputs: d contains training data vectors (one per column) % k is number of centroids required % % Out
www.eeworm.com/read/321469/13404255

m vqlbg.m

function r = vqlbg(d,k) % VQLBG Vector quantization using the Linde-Buzo-Gray algorithme % % Inputs: d contains training data vectors (one per column) % k is number of centroids required % % Out
www.eeworm.com/read/364513/9904714

c recuit.c

#include #include #include /** * initialisation (Algorithme Glouton) */ float init(float* p, float* w, int* x ,int m, int n) { int i = 0; float s = 0;
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bak annex.tex.bak

\appendix \section*{Impl閙entation de l'閏hantillonneur de Gibbs} Cr閑r une fonction Gibbs sou Matlab dont l'algorithme est le suivant : Les param鑤res pass閟 en argument sont : %------------------ \
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tex annex.tex

\appendix \section*{Impl閙entation de l'閏hantillonneur de Gibbs} Cr閑r une fonction Gibbs sou Matlab dont l'algorithme est le suivant : Les param鑤res pass閟 en argument sont : %------------------ \