代码搜索：solving
找到约 630 项符合「solving」的源代码
代码结果 630
www.eeworm.com/read/467198/7020088
m mlpdm1.m
function [W1, W2, RMSE] = mlpdm1(trn_data, mlp_config, train_opt, disp_opt)
% MLPDM1 Demo of solving 1-input 1-output problem using MLP with
% hyperbolic tangent activation.
%
% See also TANMLP1,
www.eeworm.com/read/467198/7020189
m mlpdm1b.m
function [W1, W2, RMSE] = mlpdm1(trn_data, mlp_config, train_opt, disp_opt)
% MLPDM1 Demo of solving 1-input 1-output problem using MLP with
% hyperbolic tangent activation.
%
% See also TANMLP1,
www.eeworm.com/read/143498/12870556
m mlpdm1.m
function [W1, W2, RMSE] = mlpdm1(trn_data, mlp_config, train_opt, disp_opt)
% MLPDM1 Demo of solving 1-input 1-output problem using MLP with
% hyperbolic tangent activation.
%
% See also TANMLP1,
www.eeworm.com/read/143498/12870786
m mlpdm1b.m
function [W1, W2, RMSE] = mlpdm1(trn_data, mlp_config, train_opt, disp_opt)
% MLPDM1 Demo of solving 1-input 1-output problem using MLP with
% hyperbolic tangent activation.
%
% See also TANMLP1,
www.eeworm.com/read/300074/13939415
txt sa解tsp.txt
%使用模拟退火算法解决TSP问题的matlab通用源程序
%utilizing it solving TSP problem by simulating stealing algorithm
%[fval,route]=sa_tsp(d,10,0.1,.87)
%d=[0 2 1 2 0 0 1 0 1 2 1 1 1 1
%2 0 1 4 1 0 1
www.eeworm.com/read/424747/10418047
m ga2.m
% Genetic algorithm for solving simple optimization problem
% f(x1,x2)=(4-2.1*x1^2+x1^4/3)*x1^2+x1*x2+(-4+4*x2^2)*x2^2, -3≤x1≤3,-2≤x2≤2
%The stategy of optimal maintaince is applied in the algorith
www.eeworm.com/read/318884/13467907
m geneticalgorithm.m
% Genetic algorithm for solving simple optimization problem
% f(x1,x2)=(4-2.1*x1^2+x1^4/3)*x1^2+x1*x2+(-4+4*x2^2)*x2^2, -3≤x1≤3,
% -2≤x2≤2
%The stategy of optimal maintaince is applied in the algo
www.eeworm.com/read/393832/8260836
m sa_tsp.m
%utilizing it solving TSP problem by simulating stealing algorithm
%[fval,route]=sa_tsp(d,10,0.1,.87)
%d=[0 2 1 2 0 0 1 0 1 2 1 1 1 1
%2 0 1 4 1 0 1 1 1 3 1 0 2 1
%1 1 0 1 0 0 0 3 1 1 0 2 2 1
%2
www.eeworm.com/read/334702/12580450
m geneticalgorithm.m
% Genetic algorithm for solving simple optimization problem
% f(x1,x2)=(4-2.1*x1^2+x1^4/3)*x1^2+x1*x2+(-4+4*x2^2)*x2^2, -3≤x1≤3,
% -2≤x2≤2
%The stategy of optimal maintaince is applied in the algo
www.eeworm.com/read/146775/12613452
m geneticalgorithm.m
% Genetic algorithm for solving simple optimization problem
% f(x1,x2)=(4-2.1*x1^2+x1^4/3)*x1^2+x1*x2+(-4+4*x2^2)*x2^2, -3≤x1≤3,
% -2≤x2≤2
%The stategy of optimal maintaince is applied in the algo