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DEAR ALL
I AM TRYING TO IDENTIFY THE DYNAMICS OF A 3-INPUT , 3-OUTPUT INDUSTRIAL
EVAPORATOR IN A RBF NEURAL NETWORK WITH 14 DIFFERENT I/O SAMPLES AS THE NETWORK
INPUT, 10 HIDDEN, GAUSSIAN NEURONS AND 3 LINEAR OUTPUT NEURONS .
I WANT TO IMPLEMENT EITHER LEVNBERG-MARQUARDT OR SIMPLE BP ALGORITHMS FOR
ITS TRAINING.
AS THE NETWORK HAS MORE THAN ONE OUTPUT, I HAVE GOT INTO A TROUBLE.
HAVE ANYONE A WRITTEN MATLAB CODE FOR SUCH A CASE? ( MIMO-RBFN FOR SYSTEM
IDENTIFICATION ?)
OR HAVE ANYBODY ANY IDEA TO HELP ME ?
THANKS IN ADVANCE
Puya Ghasemi Afshar |
TRAINING A MIMO-RBF NEURAL NETWORK FOR SYSTEM IDENTIFICATION
Started by ●February 5, 2004
