DWH-und-KDD--VL-18 - Informationssysteme - Universität Oldenburg

DATA MINING
Künstliche Neuronale Netze – Überwachtes Lernen V/VIII
→ Hebb‘sches Lernen – Beispiel III/V
→ 2. Musterpaar:
[+1,+1,+1,-1,-1,-1]
i=0 i=5
j=0 j=3
+1 -1 +1 -1 +1 -1
+1 -1 +1 -1 +1 -1
-1 +1 -1 +1 -1 +1
∆w ij = η·x i·s j
-1 +1 -1 +1 -1 +1
w ij ⇐ ∆w ij + w ij
+
+1 +1 +1 -1 -1 -1
-1 -1 -1 +1 +1 +1
+1 +1 +1 -1 -1 -1
-1 -1 -1 +1 +1 +1
[+1,-1,+1,-1]
+1
+2 0 +2 -2 0 -2
+1
0 -2 0 0 +2 0
-1
0 +2 0 0 -2 0
-1
-2 0 -2 +2 0 +2
-1
Dr. Frank Köster · Universität Oldenburg · Department für Informatik · Abteilung Informationssysteme · Escherweg 2 · 26121 Oldenburg · eMail: Frank.Koester@Informatik.Uni-Oldenburg.de 18
+1
a j
+6
+1
-4
-1
+4
+1
-8
-1
= ⇒ f out (a j ,Θ j ) =
o j
18