Implement the Widrow-hoff learning rule for the set of input training vectors

Introductory Circuit Analysis (13th Edition)
13th Edition
ISBN:9780133923605
Author:Robert L. Boylestad
Publisher:Robert L. Boylestad
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Implement the Widrow-hoff learning rule for the set of input training vectors
X1=
X2=
0
2
0
-1
0
0.5
-0.5
1
Initial weight W is assumed to be W1= -1
-0.5
0
0.5
Constant C=0.1, the teacher's desired response for X1 and X2 are d1=1,d2=-1 respectively.
Transcribed Image Text:Implement the Widrow-hoff learning rule for the set of input training vectors X1= X2= 0 2 0 -1 0 0.5 -0.5 1 Initial weight W is assumed to be W1= -1 -0.5 0 0.5 Constant C=0.1, the teacher's desired response for X1 and X2 are d1=1,d2=-1 respectively.
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