What values should I put in my targets whenever they're "don't care" values?
6 views (last 30 days)
Show older comments
Good day!
I have to train a feedforward net: 6-5-6 I-H-O topology, tansig and logsig activation functions, binary values as targets.
When the value of the SIXTH target is 1, the first five values matter.
However, when the value of the SIXTH target is 0, the first five values are "DON'T CARE" values, or insignificant.
Example: 101111, 100001, 001101, 00000 0, 11111 0, 01110 0
What values should I put in these "don't care" values? Nan? 0's? 1's? Or it wouldn't matter any way? I want to remove the effect of these values in the weight adjustments during training and I'm not sure how to do that in Matlab.
How does the network process inputs with Nan values (I disabled the 'fixunknowns' proccessParam) ?
Thank you!
0 Comments
Accepted Answer
Greg Heath
on 31 Oct 2012
Make no changes to the net.
Just check outputs for round(y(6,j)) == 0 and act accordingly.
Hope this helps.
Thank you for formally accepting my answer.
Greg
More Answers (1)
See Also
Categories
Find more on Define Shallow Neural Network Architectures in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!