How Does Matlab Neural Network Toolbox Preprocess Data?
조회 수: 1 (최근 30일)
이전 댓글 표시
I try to analyse my neural network trained via Neural Network Toolbox and Matlab 2016a. I was wondering how Matlab preprocesses data. I tried the following: X = -1:.1:1, Y = purelin(2*tansig(X) + tanig(X) -2) and trained a Feedforward Net, lets call it "net", with one hidden Layer and two neurons with tansig activations. I thought net(X(k)) is the same as purelin(net.LW{2,1}*tansig(net.IW{1}*X(k)-net.b{1})-net.b{2}) for any feasible index k, but this is not right. What did I do wrong or is there some hidden preprocessing?
Thanks for any answer!
댓글 수: 0
답변 (1개)
Greg Heath
2016년 9월 6일
You forgot the default input and target normalization with MAPMINMAX followed by the output denormalization.
Hope this helps.
Thank you for formally accepting my answer
Greg
댓글 수: 0
참고 항목
카테고리
Help Center 및 File Exchange에서 Deep Learning Toolbox에 대해 자세히 알아보기
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!