Before you post a question
1. Use the MATLAB commands
lookfor, help, and doc
2. Check out Google and Wikipedia
3. For source code use the MATLAB command type
type trainbr
>>lookfor trainbr
>> help trainbr
... Levenberg-Marquardt optimization.
... Bayesian Regularization
... mu 0.005 Marquardt adjustment parameter
mu_dec 0.1 Decrease factor for mu
mu_inc 10 Increase factor for mu
mu_max 1e10 Maximum value for mu
>> doc trainbr
... LIMITATIONS ...
... MORE ABOUT ... expand all
... Algorithms ...
... References ...
4. FINALLY: GOOGLE LEVENBERG-MARQUARDT
All inputs and target outputs in the NN Toolbox are column vectors
If you are classifying waveforms into c classes, the target columns should be {0,1} unit vector columns of eye(c). However, PATTERNNET is the go to classification algorithm with the default TRAINSCG.
So why are you considering TRAINBR?
Hope this helps.
Thank you for formally accepting my answer
Greg
