4

我有这个代码:

in = [5 columns of data-points];
out = [1 column of data-points];
net = newfit(in,out,5);
net = train(net,in,out);

现在我想

  • 访问生成的错误变量(以便我可以计算平均误差等)
  • 在循环中运行它,所以我想重新初始化循环之间的权重。
  • 访问存储运行时间的变量

如何从命令行完成这三件事?

[我知道如何使用nntoolGUI 完成这些事情]

4

1 回答 1

4

例子:

% some random data
in = rand(100,5)';
out = rand(100,1)';

% create a feed-forward back-propagation neural network
% (1 hidden layer with 5 neurons)
net = newfit(in,out,5);
net.trainParam.showWindow = 0;     % dont show GUI

% repeat 10 times
rmse = [];
t = [];
for i=1:10
    net = init(net);               % initialize network weights

    tic
    net = train(net,in,out);       % train
    predicted = sim(net, in);      % test
    t(i) = toc;

    r = (out - predicted);         % residuals
    rmse(i) = sqrt(mean(r.^2));    % root mean square error
end

% plot errors and elapsed times
bar([t; rmse]', 'grouped'), xlabel('Runs')
legend({'Elapsed Time' 'RMSE'}, 'orientation','horizontal')

截屏


注意:在 R2010b 中,newfit函数被弃用,取而代之的是fitnet,使用以下代码来创建网络:

% old
%net = newfit(in,out,5);

% new
net = fitnet(5);                   % create ANN
net = configure(net, in, out);     % set input/output sizes according to data
于 2009-11-04T13:59:17.937 回答