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fuzcomb1.m:-fuzzy-combn-of-foreca
s
t-Vs-Actual-(Tem
p
-series)
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time(min)-(nMF=21, training data = 1 to 150
fuzcomb1.m:-fu
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zy-combn-of-fore
c
ast-errors-(Temp-
s
eries)
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0.05
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-0.05
-0.1
-0.15
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time(min)-( nMF = 21, training data = 1 to 150)
Figure 4.7(a).
Nonlinear combination of forecasts using fuzzy model (with training data).
Dots: fuzzy model output; solid line: desired output (upper part), prediction error (bottom)
fuzcomb1.m:-fuz
z
y-combn-of-foreca
s
t-Vs-Actual-(Tem
p
-series)
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time(min)-(nMF=21, training data = 1 to 150
fuzcomb1.m:-f
u
zzy-combn-of-fore
c
ast-errors-(Temp-
s
eries)
0.2
0.15
0.1
0.05
0
-0.05
-0.1
-0.15
-0.2
160
170
180
190
200
210
220
time(min)-( nMF = 21, training data = 1 to 150)
Figure 4.7(b).
Nonlinear combination of two forecasts using fuzzy model (with test data).
Dots: fuzzy model output; solid line: desired output (upper part), prediction error (bottom)
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