Information Technology Reference
In-Depth Information
L
σ
Only the I th output depends of the
JI parameter, thus,
h i
σ
JI =
=
.
0f i
I
(2.24)
L
Developing the partial derivative of ( 2.23 ), and considering ( 2.24 ):
M I
l
1 w l I a l jI
σ
M I
l
1 w l I
M I
l
1 w l I a l jI
M I
l
l = 1
M I
l = 1
M I
=
=
=
w l I
w l I a l jI
1 w l I
L
JI
L
JI
σ
=
(2.25)
=
.
M I
l
1 w l I 2
L
JI
σ
=
L
Given that
σ
JI is only present in L rule of I th output, is easy to deduce that
M I
l = 1 w l I a l jI
σ
w I
σ
a jI
=
(2.26)
L
JI
L
JI
and working in a similar way,
M I
l =
1 w l I
w I
σ
=
JI .
(2.27)
L
JI
L
σ
Replacing ( 2.26 ) and ( 2.27 )in( 2.25 ):
M I
l
1 w l I a l jI
M I
l
=
a jI M I
1 w l I M I
1 w l I a l jI
1 w l I
w I
σ
l
=
l
=
=
=
M I
l
1 w l I 2
L
JI
L
JI
σ
=
.
M I
l
1 w l I (
a jI
a l jI )
w I
σ
=
=
(2.28)
M I
l
1 w l I 2
L
JI
=
Replacing the above expression in ( 2.23 ), the final expression is obtained:
˜
M I
l
1 w l I (
a jI
a l jI )
w I
σ
j = 0
n
=
h i
σ
x j
if i
=
I
M I
l
1 w l I 2
JI =
L
JI
.
(2.29)
=
0
if i
=
I
Finally, to conclude the calculation of ( 2.29 ) is necessary to determine the deriva-
tive of the degree of activation from the rules of the TS fuzzy model, w i , with respect
Search WWH ::




Custom Search