Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

V x ∑ w O
j = Sgn ( j+ ji i + A −15
.)
∀i
⎧ x j, when all Oi
= 0
⎪
= ⎨
⎪x
j∧∑wjiOi, otherwise
⎩
∀i
where A = Sgn ( ∑ x j− N ∑Oi−05
.)
j i
and Sgn( y) = +1, y > 0
= 0, y < 0.
_
The weight vector W * is identified by the output layer using the following
∼
Competition Rule:
_ *
Select W if
∼
_
W *
∼
.
∼ X _
≥ W .
∼ ∼ X _
, for all W .
∼
The schematic architecture of the ART network model is given in fig.14.15.
A
−N
1
1
Competitive (Output) Layer
∼ O
∼ W
Comparison (Input) Layer
∼ W
∼ X ;
Fig. 14.15: An ART network model.
∼ V
_
W ∼
ρ
−1
R