Information Technology Reference
In-Depth Information
fuzcomb1.m:-fuzzy-combn-of-foreca s t-Vs-Actual-(Tem p -series)
27
26
25
24
23
22
21
20
19
20
40
60
80
100
120
140
time(min)-(nMF=21, training data = 1 to 150
fuzcomb1.m:-fu z zy-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
20
40
60
80
100
120
140
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)
25
24
23
22
21
20
19
160
170
180
190
200
210
220
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)
 
Search WWH ::




Custom Search