NN Toolbox: What is the difference between "performance" and "plotperform"?

Question

Chris Hollands 2017-3-28

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/332320-nn-toolbox-what-is-the-difference-between-performance-and-plotperform

回答： Nanda Gupta 2017-3-31

So running the following code:

[x, t] = bodyfat_dataset;
net = feedforwardnet(10);
net.performParam.regularization = 0.01;
net = train(net, x, t);
y = net(x);
perf = perform(net, t, y)

Produces an output for perf, and then i can also view the performance through the nntraintool as a plot.

What is the difference between these two measures of performance?

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

Answer 1

Nanda Gupta 2017-3-31

1
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/332320-nn-toolbox-what-is-the-difference-between-performance-and-plotperform#answer_261271

I understand that you are a little confused as to how "perform" and "plotperform" differ.

From what I can infer, there is not much difference between them, both "plotperform" and "perform" work on "Mean Sqaured Error" by default. But "plotperform" actually plots these mean squared errors for their corresponding epochs where as the "perform" function calculates the performance of the network based on two property values:

performFcn : which is "mse"(mean squared error) by default but can be set to any of these as well:

mae - Mean absolute error performance function.
mse - Mean squared error performance function.
sae - Sum absolute error performance function.
sse - Sum squared error performance function.
crossentropy - Cross-entropy performance.
msesparse - Mean squared error performance function with L2 weight and sparsity regularizers.