代码搜索:deviation

找到约 1,443 项符合「deviation」的源代码

代码结果 1,443
www.eeworm.com/read/436995/7757480

m xypvstd.m

% xypvstd.m % Scope: This MATLAB program plots a x-y graph for a selected variable and % the associated envelope (standard deviation) from two specified
www.eeworm.com/read/298023/7977245

txt tsp.txt

generation best average standard number value fitness deviation 1, 31.000, 44.640, 7.239 2, 30.000, 44.100, 7.869 3, 23.000, 44.880, 11.302
www.eeworm.com/read/298023/7977252

dat tsp.dat

generation best average standard number value fitness deviation 1, 31.000, 39.200, 4.872 2, 31.000, 63.800, 19.008 3, 31.000, 71.800, 35.965
www.eeworm.com/read/296144/8119659

m eemd.m

% This is an EMD/EEMD program % % function allmode=eemd(Y,Nstd,NE) % % INPUT: % Y: Inputted data; % Nstd: ratio of the standard deviation of the added noise and that % of Y;
www.eeworm.com/read/306611/13741106

m eemd.m

% This is an EMD/EEMD program % % function allmode=eemd(Y,Nstd,NE) % % INPUT: % Y: Inputted data; % Nstd: ratio of the standard deviation of the added noise and that of Y; %
www.eeworm.com/read/303193/13820370

m eemd.m

% This is an EMD/EEMD program % % function allmode=eemd(Y,Nstd,NE) % % INPUT: % Y: Inputted data; % Nstd: ratio of the standard deviation of the added noise and that of Y; %
www.eeworm.com/read/486905/6519798

m eemd.m

% This is an EMD/EEMD program % % function allmode=eemd(Y,Nstd,NE) % % INPUT: % Y: Inputted data; % Nstd: ratio of the standard deviation of the added noise and that of Y; %
www.eeworm.com/read/254801/12117715

txt galog.txt

Comment: Machine: #0 to #3 Works : #0 to #7 Star Simulation... gener- best average standard tion value fitness deviation number -----: ---------,-------
www.eeworm.com/read/338643/12290889

m xypvstd.m

% xypvstd.m % Scope: This MATLAB program plots a x-y graph for a selected variable and % the associated envelope (standard deviation) from two specified
www.eeworm.com/read/226555/14459748

txt galog.txt

generation best average standard number value fitness deviation 1, 18.873, -49.219, 25.815 2, 18.873, -58.126, 25.916 3, 18.873, -64.321, 20.5