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Cl
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h
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t
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n
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dj
us
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d
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t
t
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t
a
rge
t
e
d
v
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ue
s
.
A
N
N
f
un
c
t
i
o
n
a
s
a
l
e
a
rni
ng
a
l
go
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t
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t
o
t
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y
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m
w
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a
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ge
n
c
e
a
n
d
m
o
r
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a
c
c
ur
a
t
e
i
n
A
N
F
IS
t
a
rge
t
.
A
N
N
i
s
a
da
p
t
e
d
s
o
t
h
a
t
i
t
c
a
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c
o
m
put
e
s
t
h
e
m
e
m
b
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r
s
h
i
p
f
un
c
t
i
o
n
p
a
r
a
m
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t
e
r
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t
h
a
t
b
e
s
t
a
l
l
o
w
t
h
e
a
s
s
o
c
i
a
t
e
d
F
IS
t
o
t
ra
c
k
t
h
e
gi
v
e
n
i
n
put
/
o
ut
put
da
t
a
s
i
n
c
e
t
h
e
F
IS
o
n
l
y
a
ppl
i
e
d
t
o
o
nl
y
m
o
de
l
i
n
g
s
y
s
t
e
m
s
w
h
o
s
e
r
ul
e
s
t
r
uc
t
u
r
e
i
s
e
s
s
e
nt
i
a
l
l
y
pr
e
de
t
e
r
m
i
n
e
d
by
t
h
e
us
e
r'
s
i
n
t
e
r
p
r
e
t
a
t
i
o
n
[
12].
F
i
gu
r
e
2
.
A
r
c
h
i
t
e
c
t
ur
e
o
f
A
N
F
IS
a
ddi
t
i
o
n,
A
N
F
IS
i
s
a
pp
l
i
e
d
i
n
t
h
i
s
w
o
r
k
b
e
c
a
us
e
i
t
gi
v
e
a
h
i
g
h
p
r
e
c
i
s
i
o
n,
e
a
s
y
,
a
n
d
e
f
fe
c
t
i
ve
t
e
c
h
ni
que
[12,
13]
.
T
h
e
a
r
c
hi
t
e
c
t
u
r
e
o
f
A
N
F
IS
i
s
de
pi
c
t
e
d
i
n
F
i
gu
r
e
2
[20
].
It
c
o
n
s
i
s
t
s
o
f
f
i
ve
l
a
y
e
r
s
w
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w
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pu
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a
n
d
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put
b
a
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d
o
n
t
h
e
T
a
k
a
gi
-
S
u
ge
n
o
m
o
de
l
.
Laye
r
1:
F
u
z
z
i
fi
c
at
i
o
n
T
h
i
s
l
a
y
e
r
i
s
l
o
c
a
t
e
d
a
t
t
h
e
f
i
r
s
t
n
o
de
s
a
t
t
h
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c
e
i
v
i
n
g
o
f
i
nput
d
a
t
a
o
r
s
i
g
na
l
.
It
a
dj
us
t
e
d
t
h
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i
n
pu
t
s
i
g
n
a
l
a
n
d
pe
r
f
o
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e
d
a
M
e
m
b
e
r
s
hi
p
F
u
n
c
t
i
o
n
(M
F
)
i
n
(
5).
T
h
e
M
F
pa
ra
m
e
t
e
r
s
a
r
e
a
dj
us
t
e
d
a
c
c
o
r
di
n
g
t
o
t
h
e
us
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r
i
n
t
e
r
p
r
e
t
a
t
i
o
n
.
α
i
=
k
a
(
x
)
(5)
w
h
e
r
e
α
i
i
s
m
e
m
b
e
r
s
h
i
p
f
u
n
c
t
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o
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o
f
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a
(
x
)
a
n
d
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s
l
i
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t
i
c
l
a
b
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l
a
s
s
oc
i
a
t
e
d
w
i
t
h
t
h
e
l
a
b
e
l
.
Evaluation Warning : The document was created with Spire.PDF for Python.
In
do
n
e
s
i
a
n
J
E
l
e
c
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ng
&
Co
m
p
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IS
S
N
:
2502
-
4752
F
aul
t
d
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ur
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nc
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as
s
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us
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ng
adap
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v
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u
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o
-
f
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y
i
nf
e
r
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n
c
e
s
…
(
Shahr
ani
Shahb
udi
n
)
1199
Laye
r
2:
I
F
-
TH
EN
S
tag
e
R
u
l
e
In
t
hi
s
s
t
a
ge
,
t
h
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s
i
g
n
a
l
t
ha
t
h
a
s
t
hr
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ug
h
a
f
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ro
m
t
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f
i
r
s
t
l
a
y
e
r
w
i
l
l
r
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pr
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nt
a
s
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f
i
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s
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t
h
o
f
t
h
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IF
-
T
H
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N
r
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.
T
h
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o
ut
put
i
s
m
u
l
t
i
pl
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o
f
i
n
p
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s
a
n
d
i
t
pe
r
f
o
r
m
s
t
h
e
f
uz
z
y
A
N
D
r
ul
e
s
.
W
i
=
R
ai
(
x
)
*R
bi
(
y
)
i
=
1
,
2
,
3
,
…
(6)
Laye
r
3:
N
o
r
m
al
i
z
ati
o
n
T
h
e
i
n
put
f
o
r
n
o
r
m
a
l
i
z
a
t
i
o
n
l
a
y
e
r
i
s
t
h
e
o
ut
put
f
r
o
m
t
h
e
IF
-
T
H
E
N
r
ul
e
l
a
y
e
r
.
I
n
t
hi
s
l
a
y
e
r
,
t
h
e
n
o
rm
a
l
i
z
e
d
f
i
ri
n
g
s
t
r
e
n
gt
h
w
i
l
l
b
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c
a
l
c
ul
a
t
e
d
.
E
v
e
r
y
ga
i
n
e
d
s
i
gna
l
i
s
di
v
i
de
d
by
t
h
e
t
o
t
a
l
o
f
ga
i
n
e
d
s
i
g
n
a
l
us
i
n
g
b
e
l
ow
e
qua
t
i
o
n
.
H
i
=
∑
=
1
(7)
Laye
r
4:
D
e
fu
z
z
i
fi
c
at
i
o
n
In
t
h
i
s
l
a
y
e
r
,
p
a
r
a
m
e
t
e
r
s
o
f
o
ut
put
a
r
e
a
dj
us
t
e
d
b
e
c
a
us
e
of
e
a
c
h
n
o
de
i
s
a
n
a
d
a
pt
i
v
e
n
o
de
.
N
o
r
m
a
l
i
z
e
d
s
i
g
na
l
i
s
ga
i
n
e
d
b
y
t
h
e
l
i
n
e
a
r
f
un
c
t
i
o
n
o
f
M
F
t
o
t
h
e
o
ut
pu
t
s
i
g
n
a
l
.
f
i
=
N
i
(
p
i
x
+
q
i
y
+
r
i
)
i
=
1
,
2,
3…
(8)
p
i
x,
q
i
y
a
n
d
r
i
a
r
e
t
h
e
M
F
pa
ra
m
e
t
e
r
s
f
o
r
t
h
e
l
i
n
e
a
r
s
i
g
na
l
.
L
aye
r
5:
N
e
u
r
o
n
A
d
d
i
ti
o
n
T
h
i
s
i
s
t
h
e
l
a
s
t
l
a
y
e
r
f
o
r
A
N
F
IS
.
I
n
t
hi
s
l
a
y
e
r
i
t
w
i
l
l
c
a
l
c
ul
a
t
e
t
h
e
e
n
t
i
r
e
de
f
uz
z
i
f
i
c
a
t
i
o
n
s
i
g
na
l
s
i
n
c
e
i
t
ha
s
o
n
l
y
o
n
e
n
o
de
,
w
i
t
h
t
h
e
s
um
m
a
t
i
o
n
o
f
t
h
e
i
nput
s
i
g
na
l
.
O
T
=
∑
=
1
I
(9)
3.
R
ES
U
LTS
A
N
D
A
N
A
L
Y
S
I
S
H
y
b
r
i
d
l
e
a
rni
n
g
a
l
go
r
i
t
hm
i
s
e
m
pl
oy
e
d
t
o
de
t
e
r
m
i
n
e
t
h
e
o
p
t
i
m
um
v
a
l
ue
s
of
t
h
e
F
IS
pa
r
a
m
e
t
e
r
s
o
f
t
h
e
S
uge
n
o
-
t
y
pe
m
o
d
e
l
.
H
y
b
r
i
d
-
l
e
a
rni
n
g
i
s
t
h
e
c
o
m
b
i
na
t
i
o
n
o
f
l
e
a
s
t
-
s
qua
r
e
s
m
e
t
h
o
d
a
n
d
b
a
c
k
-
p
r
o
pa
g
a
t
i
o
n
.
In
t
h
e
A
N
F
IS
,
t
h
e
t
ra
i
ni
n
g
d
a
t
a
w
e
r
e
us
e
d
t
o
t
r
a
i
n
(o
r
t
u
n
e
)
a
f
uz
z
y
m
o
de
l
.
I
n
t
hi
s
w
o
r
k,
a
c
o
l
l
e
c
t
i
o
n
o
f
264
s
a
m
pl
e
s
di
v
i
de
d
i
nt
o
t
w
o
pa
r
t
;
70
%
f
o
r
t
r
a
i
n
i
ng
a
n
d
30%
f
o
r
t
e
s
t
i
n
g
da
t
a
.
B
e
fo
r
e
t
ra
i
ni
n
g
p
r
o
c
e
s
s
,
s
e
ve
r
a
l
pa
ra
m
e
t
e
r
s
n
e
e
d
t
o
b
e
s
e
t
up
f
i
r
s
t
[2
1].
T
h
e
n
u
m
b
e
r
s
o
f
M
e
m
b
e
r
s
h
i
p
F
un
c
t
i
o
n
s
(M
F
’s
)
a
r
e
a
s
s
i
gn
e
d
t
o
e
a
c
h
i
n
pu
t
o
f
t
h
e
A
N
F
IS
a
n
d
w
e
r
e
s
e
t
t
o
t
w
o
a
n
d
t
hr
e
e
M
F
’s
.
T
h
e
n
u
m
b
e
r
of
r
ul
e
s
p
r
o
duc
e
s
f
o
r
t
w
o
n
um
b
e
r
s
o
f
M
F
’s
i
s
8
-
r
u
l
e
s
a
n
d
f
o
r
t
hr
e
e
num
b
e
r
s
o
f
M
F
’s
,
r
u
l
e
s
ge
n
e
ra
t
e
d
i
s
27
-
r
u
l
e
s
r
e
s
pe
c
t
i
v
e
l
y
.
T
o
s
e
l
e
c
t
t
h
e
b
e
s
t
m
o
de
l
f
i
t
b
a
s
e
d
o
n
t
he
t
y
p
e
of
M
F
’s
,
t
w
o
m
e
m
b
e
r
s
h
i
p
f
un
c
t
i
o
n
s
ha
s
b
e
e
n
s
e
l
e
c
t
e
d
w
h
i
c
h
a
r
e
:
t
h
e
G
a
us
s
i
a
n
f
u
n
c
t
i
o
n
(g
a
us
s
m
f
)
a
n
d
ge
n
e
r
a
l
i
z
e
d
-
b
e
l
l
f
un
c
t
i
o
n
(
gb
e
l
l
m
f
).
T
h
e
s
t
e
p
s
i
z
e
i
s
t
h
e
l
e
n
gt
h
o
f
e
a
c
h
g
ra
di
e
n
t
t
ra
n
s
i
t
i
o
n
i
n
t
h
e
p
a
ra
m
e
t
e
r
s
pa
c
e
.
I
n
t
hi
s
p
r
o
j
e
c
t
,
t
h
e
pa
ra
m
e
t
e
r
o
f
s
t
e
p
s
i
z
e
i
s
s
e
t
a
s
f
o
l
l
ow
s
:
t
h
e
i
ni
t
i
a
l
s
t
e
p
s
i
z
e
v
a
l
ue
w
a
s
s
e
t
t
o
0.
1;
t
h
e
s
t
e
p
s
i
z
e
-
de
c
r
e
a
s
i
ng
r
a
t
e
i
s
s
e
t
e
qua
l
t
o
0.
9
,
a
n
d
t
h
e
s
t
e
p
i
n
c
r
e
a
s
e
r
a
t
e
w
a
s
1.
1.
E
po
c
h
s
o
r
n
u
m
b
e
r
of
i
t
e
ra
t
i
o
n
i
s
s
e
t
t
o
100.
M
e
a
n
w
h
i
l
e
,
t
h
e
h
y
b
r
i
d
l
e
a
rn
i
ng
m
e
t
h
o
d
w
a
s
e
m
pl
o
y
e
d,
a
n
d
t
h
e
l
i
n
e
a
r
o
ut
pu
t
t
y
pe
i
s
s
e
l
e
c
t
e
d.
F
e
a
t
u
r
e
s
a
l
i
e
n
c
y
pr
o
v
i
de
s
a
m
e
a
n
f
o
r
c
h
o
o
s
i
n
g
t
h
e
b
e
s
t
fe
a
t
u
r
e
s
f
o
r
c
l
a
s
s
i
f
i
c
a
t
i
o
n
[22]
.
S
i
n
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4
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5
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0
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2
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4
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6
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2
0
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4
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6
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1
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3
I
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t
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n
F1
,
F2
&
F3
)
0
.
0
3
0
.
0
4
0
.
0
5
0
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R
EF
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EN
C
ES
[
1]
M
.
M
a
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ko
v
s
ka
a
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D
.
T
a
s
ko
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ki
,
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no
.
J
ul
y
,
pp
.
6
–
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,
201
7.
[
2]
S
.
S
ha
hb
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.
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017
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,
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1
–
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[
4]
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.
G
.
R
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.
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t
.
C
on
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.
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a
r
m
on
.
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P
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r
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pp.
9
08
–
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13,
2
016
.
[
5]
J
.
A
.
B
o
s
n
i
c
,
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.
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A
.
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nd
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.
M
o
s
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,
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t
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l
a
s
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f
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c
a
t
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on
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on
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av
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l
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t
t
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s
f
or
m
and
s
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or
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v
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c
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or
m
a
c
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,
”
2017
1
1t
h
I
nt
.
C
o
nf
.
M
e
a
s
.
,
pp.
9
–
13
,
2017
.
[
6]
X
.
S
hi
c
he
ng
,
X
.
L
i
,
a
nd
B
.
L
e
pi
ng
,
“
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n
e
f
f
e
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t
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v
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S
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an
s
f
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m
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x
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t
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on
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f
o
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c
l
as
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i
f
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c
at
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on
o
f
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qual
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t
y
di
s
t
ur
ba
nc
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S
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gn
al
s
,
”
P
r
o
c
.
-
20
15
C
hi
ne
s
e
A
ut
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m
.
C
o
ng
r
.
C
A
C
2015,
pp
.
155
5
–
15
60,
2
016
.
[
7]
F
.
U
c
a
r
,
O
.
F
.
A
l
c
i
n
,
B
.
D
a
nd
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l
,
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n
d
F
.
A
t
a
,
“
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o
w
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r
qu
a
l
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t
y
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v
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nt
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t
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c
t
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s
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f
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s
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n
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s
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l
.
11
,
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.
1
,
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.
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–
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,
2018
.
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.
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.
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9]
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nt
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:
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-
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.
[
10]
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.
S
.
K
a
m
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l
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.
A
.
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H
a
s
s
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n
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.
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l
-
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o
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s
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e
dy
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ns
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[
11]
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dna
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.
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w
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n
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n
,
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k
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l
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br
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m
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l
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3,
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-
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5,
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93
.
[
14]
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.
S
.
R
.
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.
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l
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15]
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p.
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-
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16]
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,
pp.
1
-
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17]
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.
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18]
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.
K
.
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o
ha
n
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.
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v
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v
o
l
.
20,
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.
211
7
-
2124
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2005
.
[
19]
M
.
J
.
R
.
a
.
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.
K
.
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,
v
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l
.
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,
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p.
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5
–
24
4,
M
a
r
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200
8.
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20]
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a
m
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S
.
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N
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(
2)
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64
-
169
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[
22]
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.
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