function?[bestCVaccuarcybestcbestgpso_option]?=?psoLSSVMcgForClass（trainsettrainset_labelYcpso_option）
%?psoLSSVMcgForClass?
%by?Tangxiaobiao??QQ?444646122?blog.sina.com.cn/lssvm
%?2010.05.31

%%?參數(shù)初始化
if?nargin?==?3
????pso_option?=?struct（‘c1‘1.5‘c2‘1.7‘maxgen‘100‘sizepop‘20?...
????????‘k‘0.6‘wV‘1‘wP‘1‘v‘5?...
????????‘popcmax‘10^2‘popcmin‘10^（-1）‘popgmax‘10^3‘popgmin‘10^（-2））;
end
%?c1:初始為1.5pso參數(shù)局部搜索能力
%?c2:初始為1.7pso參數(shù)全局搜索能力
%?maxgen:初始為200最大進(jìn)化數(shù)量
%?sizepop:初始為20種群最大數(shù)量
%?k:初始為0.6（k?belongs?to?[0.11.0]）速率和x的關(guān)系（V?=?kX）
%?wV:初始為1（wV?best?belongs?to?[0.81.2]）速率更新公式中速度前面的彈性系數(shù)
%?wP:初始為1種群更新公式中速度前面的彈性系數(shù)
%?v:初始為3SVM?Cross?Validation參數(shù)
%?popcmax:初始為100SVM?參數(shù)c的變化的最大值.
%?popcmin:初始為0.1SVM?參數(shù)c的變化的最小值.
%?popgmax:初始為1000SVM?參數(shù)g的變化的最大值.
%?popgmin:初始為0.01SVM?參數(shù)c的變化的最小值.
Yc=Yc;
Vcmax?=?pso_option.k*pso_option.popcmax;
Vcmin?=?-Vcmax?;
Vgmax?=?pso_option.k*pso_option.popgmax;
Vgmin?=?-Vgmax?;

eps?=?10^（-3）;
[Yccodebookold_codebook]?=?code（trainset_label‘code_MOC‘）;
%%?產(chǎn)生初始粒子和速度
for?i=1:pso_option.sizepop
????
????%?隨機(jī)產(chǎn)生種群和速度
????pop（i1）?=?（pso_option.popcmax-pso_option.popcmin）*rand+pso_option.popcmin;
????pop（i2）?=?（pso_option.popgmax-pso_option.popgmin）*rand+pso_option.popgmin;
????V（i1）=Vcmax*rands（1）;
????V（i2）=Vgmax*rands（1）;
????
????%?計(jì)算初始適應(yīng)度
?????gam=pop（i1）;sig2=pop（i2）;
?????model=initlssvm（trainsetYc‘c‘gamsig2‘RBF_kernel‘）;
?????model=trainlssvm（model）;
?????Yd0=simlssvm（modeltrainset）;
?????predict_label?=?code（Yd0old_codebook[]codebook）;%解碼分類結(jié)果
?????testnum=size（trainset_label1）;
?????right=sum（trainset_label==predict_label）;
?????n?=?sum（sum（trainset_label~=predict_label））;
?????fitness（i）?=?（1-n/prod（size（trainset_label）））*100;
????fitness（i）?=?-fitness（i）;
end

%?找極值和極值點(diǎn)
[global_fitness?bestindex]=min（fitness）;?%?全局極值
local_fitness=fitness;???%?個(gè)體極值初始化

global_x=pop（bestindex:）;???%?全局極值點(diǎn)
local_x=pop;????%?個(gè)體極值點(diǎn)初始化

%?每一代種群的平均適應(yīng)度
avgfitness_gen?=?zeros（1pso_option.maxgen）;

%%?迭代尋優(yōu)
for?i=1:pso_option.maxgen
????
????for?j=1:pso_option.sizepop
????????
????????%速度更新
????????V（j:）?=?pso_option.wV*V（j:）?+?pso_option.c1*rand*（local_x（j:）?-?pop（j:））?+?pso_option.c2*rand*（global_x?-?pop（j:））;
????????if?V（j1）?>?Vcmax
????????????V（j1）?=?Vcmax;
????????end
????????if?V（j1）?????????????V（j1）?=?Vcmin;
????????end
????????if?V（j2）?>?Vgmax
????????????V（j2）?=?Vgmax;
????????end
????????if?V（j2）?????????????V（j2）?=?Vgmin;
????????end
????????
????????%種群更新
????????pop（j:）=pop（j:）?+?pso_option.wP*V（j:）;
????????if?pop（j1）?>?pso_option.popcmax
????????????pop（j1）?=?pso_option.popcmax;
????????end
????????if?pop（j1）?????????????pop（j1）?=?pso_option.popcmin;
????????end
????????if?pop（j2）?>?pso_option.popgmax
????????????pop（j2）?=?pso_option.popgmax;
????????end
????????if?pop（j2）?????????????pop（j2）?=?pso_option.popgmin;

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件???????5829??2019-01-22?11:03??PSO_LSSVM\psoLSSVMcgForClass.m

?????文件???????2717??2019-01-22?11:08??PSO_LSSVM\PSO_LSSVM.m

?????文件???????5423??2015-06-22?09:51??PSO_LSSVM\winedata.mat

?????文件????2165517??2019-01-22?10:56??LS_SVM.zip

?????目錄??????????0??2019-01-22?10:38??PSO_LSSVM

-----------?---------??----------?-----??----

??????????????2179486????????????????????5