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: r
s
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@
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1.
I
NT
RO
D
UCT
I
O
N
T
h
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p
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q
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alit
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h
an
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Q
ca
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ca
u
s
e
g
r
ea
t
ec
o
n
o
m
ic
lo
s
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es
[
1
,
2
]
.
P
o
w
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q
u
alit
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i
s
th
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f
li
m
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[
3
]
.
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(
UP
QC
)
is
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2.
UNIFI
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D
P
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Q
U
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CO
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u
r
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co
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r
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s
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[
4
,
5
]
.
T
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t
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I
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r
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ter
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u
al
it
y
p
o
w
er
s
u
p
p
l
y
[
7
,
8
]
.
B
u
t,
th
e
s
e
d
e
v
i
ce
s
ar
e
ca
p
ab
le
o
f
m
ai
n
tai
n
in
g
t
h
e
p
o
w
er
q
u
alit
y
in
t
h
e
d
is
tr
ib
u
tio
n
n
et
w
o
r
k
.
H
en
ce
t
h
is
p
ap
er
,
a
n
e
w
tec
h
n
i
q
u
e
a
n
e
u
r
o
f
u
zz
y
b
ased
o
n
T
ak
ag
i
S
u
g
e
n
o
f
u
zz
y
i
n
f
er
en
ce
s
y
s
te
m
i
s
i
n
tr
o
d
u
ce
d
.
T
h
e
g
en
er
ated
f
u
zz
y
r
u
le
s
ca
n
b
e
tr
ai
n
ed
b
y
u
s
in
g
th
e
n
e
u
r
al
n
et
w
o
r
k
a
n
d
w
e
g
et
a
d
e
s
ir
ed
o
u
tp
u
t
o
f
an
UP
QC
[
6
]
.
UP
QC
is
o
n
e
o
f
t
h
e
F
AC
T
S
d
ev
ice,
d
esi
g
n
ed
f
o
r
b
o
th
co
m
p
e
n
s
ate
b
o
th
s
o
u
r
ce
s
id
e
an
d
lo
ad
s
id
e
p
r
o
b
le
m
s
.
T
h
e
UP
QC
co
m
b
i
n
es
s
h
u
n
t
ac
t
iv
e
f
ilter
a
n
d
s
er
ies
ac
ti
v
e
f
i
lter
t
in
a
b
ac
k
to
b
ac
k
co
n
n
ec
tio
n
,
to
r
ed
u
c
e
th
e
p
o
w
er
q
u
alit
y
p
r
o
b
le
m
s
an
d
p
o
w
er
f
ac
to
r
co
r
r
ec
tio
n
in
a
d
is
tr
ib
u
tio
n
n
et
w
o
r
k
.
R
ea
cti
v
e
p
o
w
er
co
m
p
en
s
atio
n
ca
n
b
e
p
er
f
o
r
m
ed
.
Hen
ce
t
h
is
p
ap
er
p
r
o
p
o
s
ed
Neu
r
o
f
u
zz
y
tech
n
iq
u
e
ca
n
b
e
u
s
ed
to
r
eg
u
late
D
C
lin
k
v
o
ltag
e
o
f
a
DST
A
T
C
OM
an
d
lo
ad
w
a
v
e
f
o
r
m
s
ca
n
b
e
m
ain
tain
ed
as
co
n
s
ta
n
t.
T
h
e
DC
lin
k
ca
p
ac
it
o
r
v
o
ltag
e
m
ai
n
tai
n
ed
as c
o
n
s
t
an
t le
v
e
l [
9
]
.
Fig
u
r
e
2
.
A
NFI
S T
r
ain
in
g
Da
t
a
an
d
Ou
tp
u
t
Data
3
.
1
.
Wo
rk
ing
P
ro
ce
du
re
1.
I
n
itializatio
n
o
f
t
h
e
in
p
u
t v
ar
ia
b
les.
2.
Fu
zz
i
f
icatio
n
an
d
d
ef
u
zz
i
f
icati
o
n
is
d
o
n
e
u
s
in
g
f
u
zz
y
o
p
er
ato
r
s
lik
e
as
A
N
D,
OR
o
p
er
ato
r
s
.
3.
T
h
e
m
e
m
b
er
s
h
ip
f
u
n
ct
io
n
ca
n
b
e
p
er
f
o
r
m
ed
th
r
o
u
g
h
th
e
lear
n
in
g
p
r
o
ce
s
s
.
4.
T
h
e
p
ar
am
eter
s
o
f
a
m
e
m
b
er
s
h
ip
f
u
n
c
tio
n
c
h
an
g
es t
h
r
o
u
g
h
t
h
e
lear
n
i
n
g
p
r
o
ce
s
s
.
5.
Fu
zz
y
r
u
le
s
ca
n
b
e
cr
ea
ted
in
p
u
t a
n
d
o
u
tp
u
t
m
e
m
b
er
s
h
ip
f
u
n
ctio
n
o
f
t
h
e
s
y
s
te
m
.
Evaluation Warning : The document was created with Spire.PDF for Python.
IJ
-
AI
I
SS
N:
2252
-
8938
N
eu
r
o
F
u
z
z
y
B
a
s
ed
Un
ified
P
o
w
er Qu
a
lity Co
n
d
itio
n
er fo
r
P
o
w
er Qu
a
lity
…
(
R
.
S
a
r
a
va
n
a
n
)
3
6.
Af
ter
cr
ea
tin
g
f
u
zz
y
r
u
le
s
,
th
e
r
esu
lt
s
ca
n
b
e
d
ef
u
zz
y
f
ied
to
g
et
an
o
p
ti
m
al
o
u
tp
u
t o
f
a
s
y
s
te
m
.
7.
Neu
r
al
n
et
w
o
r
k
ca
n
b
e
tr
ain
ed
i
m
p
le
m
e
n
ted
b
y
m
ea
n
s
o
f
f
u
z
z
y
lo
g
ic.
8.
T
h
e
er
r
o
r
is
m
in
i
m
ized
b
y
p
er
f
o
r
m
i
n
g
v
ar
io
u
s
iter
atio
n
s
in
t
h
e
n
e
u
r
al
n
et
w
o
r
k
.
3
.
2
.
ANF
I
S Co
ntr
o
ller
I
nfo
rm
a
t
io
n
Nu
m
b
er
o
f
n
o
d
es: 3
2
Nu
m
b
er
o
f
li
n
ea
r
p
ar
a
m
eter
s
:
1
4
Nu
m
b
er
o
f
n
o
n
l
in
ea
r
p
ar
a
m
et
er
s
: 2
3
T
o
tal
n
u
m
b
er
o
f
p
ar
a
m
eter
s
: 3
7
Nu
m
b
er
o
f
tr
ai
n
i
n
g
d
ata
p
air
s
:
6
9
Nu
m
b
er
o
f
c
h
ec
k
in
g
d
ata
p
air
s
: 0
Nu
m
b
er
o
f
f
u
zz
y
r
u
les:
7
T
y
p
e:
T
ak
ag
i
-
Su
g
e
n
o
f
u
zz
y
i
n
f
er
e
n
ce
s
y
s
te
m
Star
t tr
ain
i
n
g
ANFI
S
1.
0
.
0
0
1
3
2
0
0
3
2.
0
.
0
0
1
3
1
6
5
9
3.
0
.
0
0
1
3
1
2
7
9
4.
0
.
0
0
1
3
0
8
1
3
5.
0
.
0
0
1
3
0
4
Step
s
ize
in
cr
ea
s
e
s
to
0
.
0
1
1
0
0
0
af
ter
ep
o
ch
5.
6.
0
.
0
0
1
3
0
1
9
8
7.
0
.
0
0
1
2
9
7
4
3
8.
0
.
0
0
1
2
9
3
1
2
9.
0
.
0
0
1
2
9
0
7
6
Step
s
ize
in
cr
ea
s
e
s
to
0
.
0
1
2
1
0
0
af
ter
ep
o
ch
9
.
10.
0
.
0
0
1
2
8
8
0
4
11.
0
.
0
0
1
2
8
3
9
3
12.
0
.
0
0
1
2
8
1
4
2
13.
0
.
0
0
1
2
7
9
6
2
Step
s
ize
in
cr
ea
s
e
s
to
0
.
0
1
3
3
1
0
af
ter
ep
o
ch
1
3
.
14.
0
.
0
0
1
2
7
6
1
4
15.
0
.
0
0
1
2
7
3
7
5
16.
0
.
0
0
1
2
7
2
6
6
17.
0
.
0
0
1
2
6
9
4
4
Step
s
ize
in
cr
ea
s
e
s
to
0
.
0
1
4
6
4
1
af
ter
ep
o
ch
1
7
.
18.
0
.
0
0
1
2
6
7
9
1
19.
0
.
0
0
1
2
6
7
0
5
20.
0
.
0
0
1
2
6
4
0
8
Desig
n
ated
ep
o
ch
n
u
m
b
er
r
ea
ch
ed
--
>
A
NFI
S tr
ai
n
i
n
g
co
m
p
leted
at
ep
o
ch
2
0
.
3
.
3
.
P
r
o
g
ra
m
tr
n
Data
=
x
l
s
r
ea
d
(
‘
T
r
ain
.
x
ls
x
’
)
;
Vd
c_
A
n
f
i
s
_
T
r
ain
_
Fil
e=
s
tr
ca
t(
p
w
d
,
’
\
Vd
c_
An
f
is
_
T
r
ain
.
m
at
’
;
x
=tr
n
Da
ta(
:,1
)
;
y
=t
r
n
d
ata(
:,2
)
;
n
u
m
M
Fs
=
3
0
;
o
u
t_
f
i
s
=
A
n
f
i
s
(
tr
n
Data
,
Vd
c_
An
f
is
_
T
r
ain
,
2
0
)
;
P
lo
t(
x
,
y
,
x
,
ev
al
f
i
s
(
x
,
o
u
t_
f
i
s
)
)
;
leg
en
d
(
‘
T
r
ain
i
n
g
Da
ta’
.
’
A
N
F
I
S o
u
tp
u
t
’
)
;
4.
ARTI
F
I
CI
AL
N
E
URA
L
NE
T
WO
RK
S CO
N
T
RO
L
L
E
R
A
r
ti
f
icial
n
e
u
r
al
n
et
w
o
r
k
s
(
ANNs)
ar
e
co
m
p
o
s
ed
o
f
s
i
m
p
le
ele
m
e
n
ts
an
d
o
p
er
atin
g
i
n
p
ar
allel.
T
h
ese
ele
m
e
n
ts
ar
e
i
n
s
p
ir
ed
b
y
b
io
lo
g
ical
n
er
v
o
u
s
s
y
s
te
m
s
.
As
i
n
n
atu
r
e,
th
e
n
et
w
o
r
k
f
u
n
ct
io
n
is
d
eter
m
in
ed
lar
g
e
l
y
b
y
t
h
e
co
n
n
ec
tio
n
b
et
w
ee
n
ele
m
e
n
ts
.
A
r
ti
f
icial
n
e
u
r
o
n
s
ar
e
u
s
ed
to
r
ep
r
esen
t
th
e
b
io
lo
g
ical
n
e
u
r
o
n
s
ab
s
tr
ac
tio
n
ca
r
r
ied
o
u
t
co
m
p
u
ter
p
r
o
g
r
am
.
Fi
g
u
r
e
3
s
h
o
w
s
th
e
n
eu
r
al
n
et
w
o
r
k
ar
ch
itect
u
r
e.
Fig
u
r
e
4
s
h
o
w
s
th
e
tr
ain
in
g
s
tate
o
f
th
e
g
r
ap
h
i
ca
l r
ep
r
esen
tatio
n
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
2
5
2
-
8938
IJ
-
AI
Vo
l.
4
,
No
.
1
,
Ma
r
ch
2
0
1
5
:
1
–
7
4
Fig
u
r
e
3
.
Neu
r
al
Net
w
o
r
k
A
r
c
h
itect
u
r
e
Fig
u
r
e
4
.
T
r
ain
in
g
State
4
.
1
.
ANN
Co
ntr
o
ller
I
nfo
rm
a
t
io
n
Nu
m
b
er
o
f
i
n
p
u
t:
1
Nu
m
b
er
o
f
i
n
p
u
t la
y
er
s
: 2
Nu
m
b
er
o
f
o
u
tp
u
t:
1
Hid
d
en
la
y
er
s
ize:
1
0
Net
w
o
r
k
: f
ee
d
f
o
r
w
ar
d
n
et
w
o
r
k
4
.
2
.
P
r
o
g
ra
m
T
est th
e
Net
w
o
r
k
:
Ou
tp
u
ts
=
n
e
t (
in
p
u
t
s
)
;
E
r
r
o
r
s
=
g
s
u
b
tr
ac
t(
tar
g
ets,
o
u
t
p
u
ts
)
;
C
alcu
late
th
e
T
r
ain
in
g
,
Valid
a
tio
n
an
d
T
est P
er
f
o
r
m
a
n
ce
:
tr
ain
T
ar
g
ets =
tar
g
ets .
*
tr
.
tr
ain
Ma
s
k
{1
};
v
alT
ar
g
ets =
tar
g
et
s
.
*
tr
.
test
M
ask
{1
};
tr
ain
P
er
f
o
r
m
an
ce
=
p
er
f
o
r
m
(
n
e
t,
tr
ain
T
ar
g
ets,
o
u
tp
u
t
s
)
;
v
alP
er
f
o
r
m
a
n
ce
=
p
er
f
o
r
m
(
n
et
,
v
altar
g
et
s
,
o
u
tp
u
t
s
)
;
test
p
er
f
o
r
m
a
n
ce
=p
er
f
o
r
m
(
n
et,
tr
ain
T
ar
g
ets,
o
u
tp
u
t
s
)
;
5.
RE
SU
L
T
AND
ANA
L
YS
I
S
T
h
e
Fig
u
r
e
5
s
h
o
w
s
t
h
at
S
i
m
u
li
n
k
m
o
d
el
o
f
A
N
FIS
b
ased
UP
QC
.
I
t
co
n
s
is
ts
o
f
D
ST
A
T
C
OM
a
n
d
DVR
s
h
ar
ed
w
i
th
co
m
m
o
n
d
c
lin
k
.
T
h
e
o
u
tp
u
t
s
id
e
i
n
d
u
ct
io
n
m
o
to
r
lo
ad
an
d
v
ar
iab
le
lo
a
d
ca
n
b
e
co
n
n
ec
ted
.
I
n
d
u
ctio
n
m
o
to
r
s
h
av
e
b
ee
n
wid
el
y
u
s
ed
in
t
h
e
i
n
d
u
s
tr
y
co
m
p
ar
e
to
o
th
er
r
o
tatin
g
m
ac
h
i
n
e
r
ies,
b
ec
au
s
e
o
f
th
e
ex
is
te
n
ce
o
f
t
h
e
lar
g
e
in
d
u
cta
n
ce
s
i
n
t
h
e
in
d
u
ctio
n
m
o
to
r
s
w
h
ic
h
co
u
ld
w
ea
k
e
n
t
h
eir
r
id
e
th
r
o
u
g
h
ca
p
ab
ilit
y
.
T
h
ey
ar
e
th
o
u
g
h
t
to
b
e
p
ar
ticu
lar
l
y
v
u
ln
er
ab
le
to
v
o
ltag
e
d
ip
s
.
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o
n
p
o
we
r ele
c
tro
n
ics
.
2
0
1
0
;
25
(
6
)
.
[6
]
M
o
rris
Bre
n
n
a
,
Ro
b
e
rto
F
a
ra
n
d
a
,
En
r
ico
T
iro
n
i.
A
Ne
w
P
r
o
p
o
sa
l
f
o
r
P
o
w
e
r
Qu
a
li
ty
a
n
d
Cu
st
o
m
P
o
w
e
r
Im
p
ro
v
e
m
e
n
t:
Op
e
n
U
P
QC.
IEE
E
tra
n
s
a
c
ti
o
n
s o
n
p
o
we
r d
e
li
v
e
ry
.
2
0
0
9
;
24
(
4
)
.
[7
]
S
rin
iv
a
s Bh
a
sk
a
r
K
a
ra
n
k
i,
Na
g
e
s
h
e
d
d
a
d
a
,
M
a
h
e
sh
K M
ish
ra
,
B
K
a
l
y
a
n
Ku
m
a
r
.
A
M
o
d
if
ied
T
h
re
e
-
P
h
a
se
F
o
u
r
-
W
ire
UP
QC T
o
p
o
l
o
g
y
w
it
h
Re
d
u
c
e
d
DC
-
L
in
k
V
o
lt
a
g
e
Ra
ti
n
g
.
IEE
E
tra
n
sa
c
ti
o
n
s o
n
i
n
d
u
stria
l
e
lec
tro
n
ic
s
.
2
0
1
3
;
60
(9
).
[8
]
S
rin
iv
a
s
Bh
a
sk
a
r
Ka
ra
n
k
i,
Na
g
e
s
h
G
e
d
d
a
d
a
,
M
a
h
e
sh
K
M
ish
ra
,
B
Ka
ly
a
n
Ku
m
a
r.
A
M
o
d
if
ied
T
h
re
e
-
P
h
a
se
F
o
u
r
-
W
ire
UP
QC
T
o
p
o
lo
g
y
w
it
h
Re
d
u
c
e
d
DC
-
L
in
k
V
o
lt
a
g
e
Ra
ti
n
g
.
I
EE
E
tra
n
s
a
c
ti
o
n
s
o
n
in
d
u
stri
a
l
e
lec
tro
n
ics
.
2
0
1
3
;
60
(
9
).
[9
]
V
a
d
iraja
c
h
a
ry
a
G
Kin
h
a
l,
P
ro
m
o
d
a
g
a
rwa
l,
Ha
rio
a
m
g
u
p
ta.
P
e
rf
o
rm
a
n
c
e
In
v
e
stig
a
ti
o
n
o
f
n
e
u
ra
l
n
e
tw
o
rk
b
a
se
d
un
if
ied
p
o
w
e
r
q
u
a
li
ty
c
o
n
d
it
i
o
n
e
r
.
IEE
E
T
ra
n
s
a
c
ti
o
n
s o
n
p
o
we
r d
e
l
ive
ry
.
2
0
1
1
;
2
6
(
1
).
BI
O
G
RAP
H
I
E
S O
F
AUTH
O
R
S
R.
S
a
ra
v
a
n
a
n
is
w
o
rk
in
g
a
s
a
n
As
sista
n
t
P
ro
f
e
ss
o
r
o
f
El
e
c
tri
c
a
l
a
n
d
El
e
c
tr
o
n
ics
E
n
g
in
e
e
rin
g
a
t
Ch
risti
a
n
C
o
ll
e
g
e
o
f
En
g
in
e
e
ri
n
g
a
n
d
T
e
c
h
n
o
lo
g
y
,
Od
d
a
n
c
h
a
tram
.
He
h
a
s
o
b
tain
e
d
h
is
Ba
c
h
e
lo
r’s
De
g
re
e
in
El
e
c
tri
c
a
l
a
n
d
El
e
c
tro
n
ics
E
n
g
in
e
e
rin
g
f
ro
m
A
n
n
a
Un
iv
e
rsit
y
in
th
e
y
e
a
r
2
0
0
7
a
n
d
M
a
ste
r’s
De
g
r
e
e
in
P
o
w
e
r
S
y
ste
m
s
En
g
in
e
e
rin
g
f
ro
m
An
n
a
Un
iv
e
rsity
,
Ch
e
n
n
a
i
in
th
e
y
e
a
r
2
0
0
9
.
C
u
rre
n
tl
y
h
e
is
p
u
rs
u
i
n
g
h
is
P
h
.
D.,
i
n
A
n
n
a
Un
iv
e
rsity
.
His
a
re
a
o
f
in
tere
st
in
c
lu
d
e
s
P
o
w
e
r
S
y
ste
m
s
A
n
a
l
y
sis,
so
f
t
c
o
m
p
u
ti
n
g
tec
h
n
iq
u
e
s,
a
n
d
F
A
CT
S
d
e
v
i
c
e
s.
Dr.
P
.
S
.
M
a
n
o
h
a
ra
n
re
c
e
iv
e
d
th
e
B.
E.
a
n
d
M
.
E
.
d
e
g
re
e
s
f
ro
m
A
n
n
a
u
n
iv
e
rsit
y
Ch
e
n
n
a
i
in
1
9
9
9
a
n
d
2
0
0
1
,
re
sp
e
c
ti
v
e
l
y
,
a
n
d
th
e
P
h
.
D.
d
e
g
re
e
in
e
lec
tri
c
a
l
e
n
g
i
n
e
e
rin
g
f
ro
m
A
n
n
a
u
n
iv
e
rsit
y
Ch
e
n
n
a
i
i
n
2
0
0
9
.
His
a
re
a
s
o
f
i
n
tere
st
in
c
lu
d
e
p
o
w
e
r
s
y
ste
m
s
a
n
d
so
f
t
c
o
m
p
u
ti
n
g
tec
h
n
i
q
u
e
s.
Cu
rre
n
tl
y
,
h
e
is
a
P
ro
f
e
ss
o
r
in
th
e
El
e
c
tri
c
a
l&
El
e
c
tro
n
ics
En
g
in
e
e
rin
g
De
p
a
rtme
n
t,
T
h
iag
a
ra
jar
Co
ll
e
g
e
o
f
En
g
in
e
e
rin
g
M
a
d
u
ra
i
,
In
d
ia.
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