function?[bestcbestg]?=?gcsSVMcgForRegress（train_labletrain）
%CSSVMCGFORREGRESS?Summary?of?this?function?goes?here
%?參數(shù)初始化??
????n=25;
????pa=0.25;
????cmax=10^2;
????cmin=10^（-1）;
????gmax=10^3;
????gmin=10^（-2）;
????N_IterTotal=200;
%被發(fā)現(xiàn)是外來蛋的概率pa
%tolerance
Tol=1.0e-1;
%簡單的搜索范圍
%解決方案的維數(shù)

%隨機初始化解決方案/產(chǎn)生鳥窩

for?i=1:n
????nest（i1）=（cmax-cmin）*rand+cmin;
????nest（i2）=（gmax-gmin）*rand+gmin;
end
%找極值和極值點
%得到當前的最優(yōu)值
??%fitness=10^10*ones（n1）;
??bestc?=?0;
??bestg?=?0;
??fitness?=?Inf;
??[fminbestnestnestfitness]=get_best_nest（nestnestfitnesstrain_labletrain）;

?
%迭代尋優(yōu)
N_iter=0;
for?iter=1:N_IterTotal
????%產(chǎn)生新的解決方法，但是保持當前的最優(yōu)解
????new_nest=get_cuckoos（nestbestnestcmincmaxgmingmax）;
????[fnewbestnestfitness]=get_best_nest（nestnew_nestfitnesstrain_labletrain）;

????%更新代數(shù)
????N_iter=N_iter+n;
????%被發(fā)現(xiàn)的和移除
????new_nest=empty_nests（nestcmincmaxgmingmaxpa）;

????%計算這代的解決方案
???[fnewbestnestfitness]=get_best_nest（nestnew_nest

?屬性????????????大小?????日期????時間???名稱
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?????文件????????4975??2014-12-28?12:54??1基于高斯擾動的布谷鳥算法優(yōu)化svm網(wǎng)絡?gcsSVMcgForRegress.m