What is validation failure Artificial neural network ?
7 views (last 30 days)
Show older comments
while using nntraintool the training stops when no of validation failures reach certain prescribed number. What exactly is this Validation failure? Also, what is the term like Mu stands for?
0 Comments
Accepted Answer
Greg Heath
on 15 Jun 2016
To prevent the net from performing poorly on nontraining (validation, test and unseen data) while learning well on training data, training stops if the validation performance degrades for 6 (default) consecutive epochs. The procedure is called
VALIDATION STOPPING.
Hope this helps.
Thank you for formally accepting my answer
Greg
2 Comments
Greg Heath
on 16 Jun 2016
Mu is the momentum constant. To see how it's used lookup the explanation of the Levenberg-Marquardt algorithm.
More Answers (0)
See Also
Categories
Find more on Sequence and Numeric Feature Data Workflows in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!