May 2024
Intermediate to advanced
609 pages
24h 17m
English
book
Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
by Samir Roy, Udit Chakraborty
Content preview from Introduction to Soft Computing: Neuro-Fuzzy and Genetic Algorithms
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330 Introduction to Soft Computing
If y
j
≠ −1 Then
x
ji
b
ji
x
i
i
m
×
b
i
b
j
i
=
∑
1
Y = [y
1
, y
2
, y
3
] = x × B = [0, 1, 1, 0] ×
..
.
..
.
.
.
67
22
.
67
22
.
02
.
2
02
.
2
⎡
⎣
⎢
⎡
⎡
⎢
⎢
⎢
⎢
⎢
⎢
⎢
⎣
⎣
⎢
⎢
⎤
⎦
⎥
⎤
⎤
⎥
⎥
⎥
⎥
⎥
⎥
⎥
⎦
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⎥
⎥
= [0, .67, 0]
Step 8. While reset is True Do Steps 9 To 12.
Step 9. If y
j
= −1 for all cluster units, then all of them are
inhibited and the pattern cannot be learnt by the net.
Otherwise, find the J such that y
J
≥ y
j
for all j = 1 to
n. Then the Jth cluster unit is the winner. In case of
a tie, take the smallest J.
None of the cluster units is inhibited and the cluster unit Y
2
has the largest activation
0.67. So winner is Y
2
, and J = 2.
Step 10. Update x : x
i
= s
i
×t
Ji
for all ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.