Info

此问题已关闭。 请重新打开它进行编辑或回答。

Does ANN really needs pre-process?

2 次查看(过去 30 天)
Amend
Amend 2015-7-17
关闭: MATLAB Answer Bot 2021-8-20
Many papers suggest to do certain preprocessing steps to improve ANN performance. The common way is the normalization of input and output data.
I currently use function fitting tool. I know this tool includes the mapminmax functions to normalize data to [-1,1]. I will not need to perforce normalization directly. Because the training results do not satisfy me. So I try to disable matlab default process function by
net.inputs{1}.processFcns ={};
net.outputs{1}.processFcns ={};
and do normalization by myself. In this way, all data are between [-1,1]. Before I do post-processing, the predicted outputs should fall between [-1,1], I think. However, sometimes I found the results are beyond [-1,1]. What is wrong?
  1 个评论
Walter Roberson
Walter Roberson 2015-7-17
It sounds as if you are asking what is wrong with your own normalization code, which you do not show us ?

回答(0 个)

此问题已关闭。

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by