grnn_Train {grnnR} | R Documentation |
synthesize a grnn using the training dataset
grnn_Train(P, T, SIGMA_flag = 1, SIGMA_inp = 1)
P |
matrix of pattern vectors |
T |
matrix of target vectors |
SIGMA_flag |
select empirical spread or user supplied |
SIGMA_inp |
user supplied Gaussian spread value |
a call is made to the function compute SIGMA for SIGMA flag=1, else uses the spread value supplied in SIGMA inp
C |
matrix of center vectors |
W |
matrix of weight vectors |
SIGMA |
Gaussian spread value |
Arnold Arrington