文档介绍：
Neuro
F uzzy Mo deling and Con trol
Jyh
Shing Roger Jang
Ch uen
Tsai Sun
are assigned
and all learning sc hemes applicable to adap
A bstr act
F undam en tal and adv anced dev elopmen ts in
neuro
fuzzy synergisms for mo deling and con trol are re
tiv w orks are also quali
ed metho ds for
view ed
The essen tial part of neuro
fuzzy es
w orks and fuzzy inference systems
from mon framew ork called adaptiv w orks
whic h
When represen ted as an adaptiv enet w ork
a fuzzy in
uni
es b oth w orks and fuzzy mo dels
The fuzzy
mo dels under the framew ork of adaptiv enet w orks is called
ference system is called ANFIS
Adaptiv w orks
based
ANFIS
Adaptiv w ork
based F uzzy Inference System
F uzzy Inference Systems
F or three of the monly
whic h p ossess certain adv an tages o v er w orks
W e
used fuzzy inference systems
the equiv alen t ANFIS can b e
in tro duce the design metho ds for ANFIS in b oth mo deling
and con trol applications
Curren t problems and future di
deriv ed directly
Moreo v er
the training of ANFIS follo ws
rections for neuro
fuzzy approac hes are also addressed
the spirit of the minim um disturbance principl e
Keywor ds
F uzzy logic
w orks
fuzzy mo deling
and is th us more e
cien t than sigmoidal w orks
neuro
fuzzy mo deling
neuro
fuzzy con trol
ANFIS
Once a fuzzy inference system is equipp ed with learning
capabilit y
all the design metho dologies for w ork
I
Intr oduction
con trollers b ecome directly applicable to fuzzy con trollers
W e brie
y review these design tec hniques and giv e related
In
Zadeh published the
rst pap er on a no v el w a y
references for further studies
of c haracterizing non
probabilistic uncertain ties
whic hhe
The arrangemen t of this article is as follo ws
In Section
called fuzzy sets
This y ear marks the
th an
an in
depth in tro duction to the basic concepts of fuzzy sets
niv