Train more a Neural Network to have more consistent results every time?
4 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
Jean-François
am 11 Nov. 2015
Beantwortet: Greg Heath
am 11 Nov. 2015
Hello
Before using Matlab, i was programming my own Neural Networks, and when i trained them long enough, i had the same simulation outputs everytime (approximatively).
Now i use Matlab and on my predictions, i don't always have the same consistent results.
So do i need to train the NN longer?
And how do i do that properly?
thanks!!
Jeff
0 Kommentare
Akzeptierte Antwort
Greg Heath
am 11 Nov. 2015
Results are different because the initial state of the RNG is different. Therefore you will get different random data divisions and initial weights.
For nontrivial problems this often results in a wide variety of results.
It is not unusual for me to designs 100 nets in a double for loop:
1. Initialize the RNG
2. Outer loop over 10 trial values for number of hidden nodes:
h = Hmin:dH:Hmax
3. Inner loop over Ntrials = 10 different initial RNG states.
i = 1:Ntrials.
I have posted zillions of examples in both the NEWSGROUP and ANSWERS. Search using "greg" with the above code snippets.
Hope this helps.
Thank you for accepting my answer
Greg
0 Kommentare
Weitere Antworten (0)
Siehe auch
Kategorien
Mehr zu Sequence and Numeric Feature Data Workflows finden Sie in Help Center und File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!