how to get fix output for neural network?

3 views (last 30 days)
Punam
Punam on 2 Mar 2012
hi, i am new to neural network. as i run my program every time different outputs are there.so can any one tell me how to get same output which is best. thanks

Answers (2)

Greg Heath
Greg Heath on 4 Mar 2012
In general, weight initialization and data division involve random numbers. Therefore
1. Intialize the RNG to the same state whenever you want to reproduce results.
2. Train in a double loop. I typically use 10 trials for every value of H (number of hiden nodes).
3. Tabulate the results.
4. Find the best result. You can retrain to get the weights by counting how many times the RNG state has changed since initialization.
5. A better generalizing alternative is to find the several best designs and average their outputs. Search the term "ensemble".
Hope this helps.
Greg
  1 Comment
Punam
Punam on 6 Mar 2012
hello Greg
thanks for your help
will u plz tell me what is RNG? term ensemble?

Sign in to comment.


Greg Heath
Greg Heath on 7 Mar 2012
RNG = random number generator
ENSEMBLE = a combination of neural nets.
Search the term in comp.ai.neural-nets and comp.soft-sys.matlab.
Hope this helps.
Greg

Categories

Find more on Deep Learning Toolbox 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!