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mcgtry1.m:
f
uzzy-forecast
of Mackey-G
l
ass-Series
1.5
1
0.5
550
600
650
700
750
800
850
900
950
1000
time(Second)-(nMF=27 & Training Data = 1 to 500)
mcgtry
1
.m: fuzzy pre
d
iction errors
f
or Mackey-G
l
ass Chaotic
S
eries)
0.2
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
550
600
650
700
750
800
850
900
950
1000
time(Second)-(nMF=27 & Training Data= 1 to 500)
Figure 4.4(c).
Forecasting chaotic series with fuzzy predictor with
n
= 27 GMFs
mcgtry2.m: fuzzy-forecast of Mackey-Glass-Series
1.5
1
0.5
0
550
600
650
700
750
800
850
900
950
1000
time(Second)-(nMF=37 & Training Data =1 to 500)
mcgtry2.m: fuzzy prediction errors for Mackey-Glass Chaotic Series)
0.2
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
550
600
650
700
750
800
850
900
950
1000
time(Second)-(nMF=37 & Training Data= 1 to 500)
Figure 4.4(d).
Forecasting chaotic series with fuzzy predictor with
n
= 37 GMFs
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