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identify |
identifies a fuzzy model from data
Syntax
m=identify(m,in,out,options)
Description
m=identify(m,in,out,options)
identify model m
on the basis of the data
inside in
and out
using method specified in options
.
The accepted fields for options are:
method
identification method(see below).
n_rules
number of rules.
min_n_rules
min. nb. of rules (incremental methods only)
max_n_rules
max. nb. of rules (incremental methods only)
fuzzyness
fuzzyness of the model (usually greater than 1)
tolerance
minimal improvement for recursive techniques before the algorithm stops.
seed
seed for random generator
lin_fit
type of linear fitting: 0: normal, 1: local
rule_type
rule type code (see add_rules
for more info)
cluslms
GK clustering followed by a LMS fit
fmclust
Robert Babuska's identification method
incrsie
Incremental identification method (Siemens)
tsgklmxv
incremental method developped in IRIDIA
cluslev
GK clust. init. and Lev.-Marq. optimisation
randlm
random init. and Lev.-Marq. optimisation