Computational Intelligence in Automotive Applications Episode 1 Part 3 ppt
Computational Intelligence in Automotive Applications Episode 1 Part 3 ppt
... (s)
1 39 4 (two intervals: 18 0 + 214 ) 516 910
2 90 (one interval) 210 30 0
3 0 240 240
4 15 5 (one interval) 17 5 33 0
5 16 0 (one interval) 39 3 5 53
6 18 0 (one interval) 37 0 550
7 31 0 (two intervals: 15 0 ... 550
7 31 0 (two intervals: 15 0 + 16 0) 6 31 9 41
8 842 (two intervals: 39 0 + 452) 765 1, 607
9 210 (two intervals: 75 + 13 5) 255 465
10 6 73 (two inte...
Computational Intelligence in Automotive Applications Episode 1 Part 7 pptx
... Automotive Applications 11 7
0 50 10 0 15 0 200 250 30 0 35 0 400
1
−0.5
0
0.5
1
0 50 10 0 15 0 200 250 30 0 35 0 400
1
−0.5
0
0.5
1
Testing
Training
Fig. 11 . The RNN results after training. The segment from ... et al.: On Learning Machines for Engine Control, Studies in Computational Intelligence (SCI) 13 2, 12 5 14 4 (2008)
www.springerlink.com
c
Springer-Ve...
Computational Intelligence in Automotive Applications Episode 1 Part 1 pptx
... Networks in Automotive Applications
Danil Prokhorov 10 1
1 Models 10 1
2 VirtualSensors 10 3
3 Controllers 10 6
4 TrainingNN 11 1
5 RNN: AMotivatingExample 11 6
6 VerificationandValidation (V &V) 11 8
References ... 11 8
References 11 9
On Learning Machines for Engine Control
G´erard Bloch, Fabien Lauer, and Guillaume Colin 12 5
1 Introduction 12 5
1. 1 CommonFeatur...
Computational Intelligence in Automotive Applications Episode 1 Part 2 pdf
... F09-F10) 32 70
Pupil-diameter features only (F09-F10) 2 61
Driving-performance features (F 01- F08) 8 60
PleaserefertoTable2forthefeatureindices
0
2
4
6
8
10
12
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
31
33
Feature ...
F09 > 21. 24 43
F15 <= 0. 017 4
F 21 > 0.0 635
-> class Low [0.9 73]
Rule 1/ 11: ( 31 . 6, lift 1. 2)
F 01 > 0 .30 84
F 01...
Computational Intelligence in Automotive Applications Episode 1 Part 4 doc
... as:
⎛
⎝
X
b
Y
b
Z
b
⎞
⎠
= λ
⎛
⎝
h
11
h
12
h
13
h
21
h
32
h
33
h
31
h
32
1
⎞
⎠
⎛
⎝
X
a
Y
a
Z
a
⎞
⎠
(4)
The perspective camera coordinates can be mapped to pixel coordinates (u
a
,v
a
)and(u
b
,v
b
)usingthe
internal calibration ... Joint Conference on Artificial Intel ligence, Montreal, Canada, 19 95.
11 . I. Guyon and A. Elisseeff. An introduction to feature selection. Jour...
Computational Intelligence in Automotive Applications Episode 1 Part 5 docx
... the following equations:
u
2
=
h
11
u
1
+ h
12
v
1
+ h
13
h
31
u
1
+ h
32
v
1
+ h
33
,v
2
=
h
21
u
1
+ h
22
v
1
+ h
23
h
31
u
1
+ h
32
v
1
+ h
33
(17 )
The matrix H formed from elements h
ij
is the ... Machine Intelligence, pp. 918 –9 23, July 20 03.
31 . D.V. Prokhorov. Neural Networks in Automotive Applications. Computational Intelligence...
Computational Intelligence in Automotive Applications Episode 1 Part 6 doc
... X
0
12 3 0.85 Tool in (2,4) and location in (left)
12 6 0.86 Shaft in (2) and location in (right)
12 7 0. 83 Tool in (2 ,3) and shaft in (2)
13 0 0. 83 Tool in (1, 4) and location in (right)
13 3 0. 83 Tool ... Tool in (4)
18 2 0. 81 Tool not in (4) and shaft in (2)
18 3 0. 81 Tool not in (1) and location in (right)
210 0.84 Tool in (1, 2)
236...
Computational Intelligence in Automotive Applications Episode 1 Part 8 potx
... =3.
0.4 0.6 0.8 1
0
10
20
30
0.4 0.6 0.8 1
0
10
20
30
0.4 0.6 0.8 1
0
10
20
30
0.4 0.6 0.8 1
0
10
20
30
0.4 0.6 0.8 1
0
10
20
30
0.4 0.6 0.8 1
0
10
20
30
N
e
= 10 00 rp m
OF =0
◦
CA/m
OF =0. 41
◦
CA/m
OF ... and Control in Spark Ignition Automotive Engines, Studies in
Computational Intelligence (SCI) 13 2, 14 5 16 8 (2008)
www.springerlink.co...
Computational Intelligence in Automotive Applications Episode 2 Part 2 ppt
... 2 .3 399
Freeway LOS B 66. 91 78 .34 2.9 36 6
Freeway LOS C 66.54 78.74 3. 4 448
Freeway LOS D 65.25 77.56 2.9 433
Freeway LOS E 57.2 74. 43 4.0 4 71
Freeway LOS F 32 . 63 63. 85 4.0 536
Freeway ramps 34 .6 ... Murphey: Intelligent Vehicle Power Management: An Overview, Studies in Computational Intelligence (SCI) 13 2, 16 9 19 0 (2008)
www.springerlink.com
c
Springer-Verl...
Computational Intelligence in Automotive Applications Episode 2 Part 3 ppsx
... engine system
Fault\test R1 R2 hR2lR3R4R5R6hR6l
F0 0 0 0 0 0 0 0 0
F1 0 1 0 0 0 0 0 0
F2 0 0 1 1 0 0 1 0
F3 0 0 1 1 0 0 0 1
F4 0 0 0 1 0 0 0 1
F5 1 0 0 0 0 0 0 0
F6 0 0 0 1 1 1 1 0
F7 0 0 0 1 ... models in order to be effective.
K. Pattipati et al.: An Integrated Diagnostic Process for Automotive Systems, Studies in Computational Intelligence (SCI) 13 2,
19 1–...
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