% 例10-3,旧式写法

clear all

P = [-1 -1 2 2; 0 5 0 5];

T = [-1 -1 2 2];

%% 旧式语法

net1 = newff(minmax(P),[5 1],{'tansig', 'purelin'}, 'traingd'); % 隐含层有5个神经元

net1.trainParam.goal = 1e-5;

net1.trainParam.epochs = 300;

net1.trainParam.lr = 0.05;

net1.trainParam.showWindow = 1;

net1= train(net1,P,T);

Y1 = sim(net1,P);

disp(['旧式语法 mse: ' num2str(mse(T-Y1))]);

Warning: NEWFF used in an obsolete way.

> In nntobsu at 18

In newff at 86

See help for NEWFF to update calls to the new argument list.

旧式语法 mse: 9.8073e-006

% 例10-3，新式写法

clear all

P = [-1 -1 2 2; 0 5 0 5];

T = [-1 -1 2 2];

%% 新式语法

net2 = newff(P,T,5,{'tansig', 'purelin'}, 'traingd'); % 隐含层有5个神经元

net2.trainParam.goal = 1e-5;

net2.trainParam.epochs = 300;

net2.trainParam.lr = 0.05;

net2.trainParam.showWindow = 1;

net2 = train(net2,P,T);

Y2 = sim(net2,P);

disp(['新式语法 mse: ' num2str(mse(T-Y2))]);

新式语法 mse: 10.7499

% 例10-3，新写法，改进

clear all

P = [-1 -1 2 2; 0 5 0 5];

T = [-1 -1 2 2];

%% 新式语法

net2 = newff(P,T,5,{'tansig', 'purelin'}, 'traingd'); % 隐含层有5个神经元

net2.trainParam.goal = 1e-5;

net2.trainParam.epochs = 300;

net2.trainParam.lr = 0.05;

net2.trainParam.showWindow = 1;

net2.divideFcn = ''; % 为和书本一致，对于样本极少的情况，不要再三分了

net2 = train(net2,P,T);

Y2 = sim(net2,P);

disp(['新式语法，改进 mse: ' num2str(mse(T-Y2))]);

新式语法，改进 mse: 9.8129e-006