代码搜索:Generation

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www.eeworm.com/read/450608/7480114

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/441245/7672674

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/137160/13341878

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/314653/13562242

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/493294/6399943

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/400577/11572638

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/255755/12057309

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/150905/12248364

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/149739/12352727

m gendatl.m

%GENDATL Generation of Lithuanian classes % % A = GENDATL(N,S) % % INPUT % N Number of objects per class (optional; default: [50 50]) % S Standard deviation for the data generation (optional; d
www.eeworm.com/read/208487/15246495

m gaplotbestfun.m

function state = gaplotbestfun(options,state,flag) %GAPLOTBESTF Plots the best score and the mean score. % STATE = PLOTBEST(OPTIONS,STATE,FLAG) plots the best score as well % as the mean of the sc