Intelligent Control Systems with LabVIEW 1 doc
Intelligent Control Systems with LabVIEW 1 doc
... GeneticProgrammingStages 14 6
5 .16 .1 Initialization 14 6
5 .16 .2 Fitness 14 7
5 .16 .3 Selection 14 7
5 .16 .4 Crossover 14 7
5 .16 .5 Mutation 14 8
5 .17 VariationsofGeneticProgramming 14 9
5 .18 GeneticProgramminginDataModeling 15 0
5 .19 ... 210
FutherReading 210
Index 211
Intelligent Control Systems with LabVIEW
Pedro Ponce-Cruz • Fernando D. Ramírez-Figueroa
Inte...
Intelligent Control Systems with LabVIEW 4 docx
... f0; 1g of each cluster. Con-
sider the learning rate to be 0 .1.
Table 3.3 Data points in R
2
Point X-coordinate Y -coordinate Cluster
11 2 0
22 3 0
31 1 0
41 3 0
52 2 0
66 6 1
77 6 1
87 5 1
98 ... Dfx
1
;x
2
g and W Dfw
1
;w
2
g.
Then, the linear combination is done by:
y D f
X
i
x
i
w
i
C b
!
D f.x
1
w
1
C x
2
w
2
C b/ : (3.6)
Then,
f.s/D
0if b>x
1
w
1
C x
2...
Intelligent Control Systems with LabVIEW 7 doc
... connector.
13 0 5 Genetic Algorithms and Genetic Programming
i =1
i< (m - 1)
ran = random[0 ,1]
ran < PC
* pos = random [1, …,n -1]
* k = pos +1
k < n
* aux = b
i,t +1
[k]
* b
i,t +1
[k] = b
i +1, t +1
[k]
* ... crossover probability (CP) is
12 6 5 Genetic Algorithms and Genetic Programming
Table 5 .1 Chromosome encoded information
Decimal number Binary encoded
5 0 010 1...
Intelligent Control Systems with LabVIEW 2 ppt
... 0.8
pairs of minima, as shown in (2 .16 ):
R
1
.x
1
;y
1
/ ^
R
2
.y
1
;z
1
/ D 0 :1 ^ 0:9 D 0 :1
:
:
:
R
1
.x
1
;y
5
/ ^
R
2
.y
5
;z
1
/ D 0:7 ^ 0:0 D 0:0
: (2 .16 )
We take the maximum of these ... bset with the
1
1
-1
-1
1
10
2
s
R
y
f
S
()
2
21Fs
s
=− +
()
sμ
ab
Fig. 2 .14 a,b Extension principle example. a Function: F.s/D2s
2
C 1. b Fuzzy membership
fu...
Intelligent Control Systems with LabVIEW 5 pot
... nodes
6
5
2
4
3
1
Fig. 3.49 Adjacency matrix
for the DAG in Fig. 3.48
Table 3 .10 Bayesian networks example
Node 1 Node 2 Node 3 Node 4 Node 5 Node 6 Frequency
011 011 32
010 10094
0 010 118 3
11 0 010 19
0 011 012 2
10 00 011 8
011 110 29
000 011 12
References ... minimum as shown in (4 .11 ) and (4 .12 ).
@S
@a
0
1
2
m
X
iD1
"
y
i
1
2
a
0
C
1
X
kD1
a
k
cos .k!
0
x/...
Intelligent Control Systems with LabVIEW 6 pdf
... smoothing coefficients with values in the range
.0; 1/ .Thetermsy
av
and y
tr
can be initialized as:
y
av
.1/ D y .1/
y
tr
.1/ D
.y .1/ y.0// C .y .2/ y .1/ /
2
: (4.20)
11 4 4 Neuro-fuzzy Controller Theory ...
k
x
k
v
i
k
k
x
k
v
j
k
!
2=.m 1/
(4 .14 )
8 1 Ä i Ä c
v
j
D
N
P
kD1
.u
ik
/
m
x
k
N
P
kD1
.u
ik
/
m
: (4 .15 )
11 2 4 Neuro-fuzzy Controller Theory and Application
Fi...
Intelligent Control Systems with LabVIEW 8 ppt
... Dordrecht
14 0 5 Genetic Algorithms and Genetic Programming
Fig. 5 .16 Example decision
table
BB
A
A
CC
CC
1
N2
1
1 ,1
i,N2
N1
N1 ,1
N1,N2
.
.
.
.
.
.
.
.
.
.
.
.
in (5.3):
IF x
1
is A
i
AND ... important.
5 .19 Genetic Programming Using the ICTL 15 1
Tabl e 5.4 Individual rule coding for genetic programming ICTL example
Three bits Two bits 10 bits for rule output
IS, IS NOT...
Intelligent Control Systems with LabVIEW 9 pdf
... 1 1 51 1 20
1 1 226 1 17
1 226 15 1 1 12
1 226 226 1 15
76 1 1 20 1
76 1 76 20 1
76 1 1 51 1 15
76 226 15 1 1 15
76 226 226 1 12
15 1 1 1 20 1
1 51 1 76 20 1
1 51 1 15 1 12 12
15 1 226 15 1 1 1
15 1 226 ... Data used in Example 6 .1
Number X data Number X data Number X data Number X data
1 255 66 411 5 816 80
2 67 7 64 12 96 17 80
3 67 8...
Intelligent Control Systems with LabVIEW 10 pps
... memory 17 3
Alpha cut 23
Degree ˛ 23
Resolution principle 24
ANFIS 10 6, 11 0, 11 1, 11 4
Cycle param eter 11 4
Ethas 11 4
Input/output 11 4
Parameter a 11 4
Parameter b 11 4
Parameter c 11 4
Trainer array 11 4
ANFIS ... parameter 11 0
Control parameter 16 1
Cost function 2 01
Cramer 14 4
Cross-sectional data 19 4
Crossover 12 9, 13 8, 15 3
Cut-and-splice operator 13 8...
