Neural networks: methodology and applications
Saved in:
| Format: | Book |
|---|---|
| Language: | English French |
| Published: |
Berlin [u.a.]
Springer
2005
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Orig.-Ausg.: Editions Eyrolles |
| Physical Description: | XVIII, 497 S. graph. Darst. 235 mm x 155 mm |
| ISBN: | 3540229809 9783540229803 |
Staff View
MARC
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| 130 | 0 | |a Réseaux de neurones - Méthodologies et application | |
| 245 | 1 | 0 | |a Neural networks |b methodology and applications |c G. Dreyfus |
| 264 | 1 | |a Berlin [u.a.] |b Springer |c 2005 | |
| 300 | |a XVIII, 497 S. |b graph. Darst. |c 235 mm x 155 mm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Orig.-Ausg.: Editions Eyrolles | ||
| 650 | 4 | |a Réseaux neuronaux (Informatique) | |
| 650 | 4 | |a Simulation par ordinateur | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
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| 700 | 1 | |a Dreyfus, Gérard |e Sonstige |4 oth | |
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Record in the Search Index
| _version_ | 1804132958904254464 |
|---|---|
| adam_text | Contents
List of Contributors
1
G. Dreyfus
1.1
1.1.1
1.1.2
1.1.3
Supervised Training: Parsimonious Approximation
1.1.4
for Static Modeling and Discrimination (Classification)
1.1.5
for Data Analysis and Visualization
1.1.6
Gray-Box Modeling, and Control
1.1.7
Combinatorial Optimization
1.2
1.2.1
1.2.2
1.3
1.3.1
1.3.2
Appropriate?
1.3.3
1.3.4
1.3.5
1.4
Engineering
1.4.1
x
1.4.2 An Application in
Reading of Zip
1.4.3 An Application in
Detection by Eddy Currents
1.4.4
Probability of Election to the French Parliament
1.4.5
1.4.6
Structure-Relation Activity Prediction for Organic Molecules
1.4.7
Liquidus Temperatures of Industrial Glasses
1.4.8
The Modeling of Spot Welding
1.4.9
Hydraulic Actuator of a Robot Arm
1.4.10
Manufacturing Process
1.4.11
Pollution and Urban Hydrology
1.4.12
1.5
1.6
1.6.1
1.6.2
References
2
Design Methodology
G. Dreyfus
2.1
2.1.1
2.1.2
2.1.3
Modeling and Machine Learning
2.2
2.2.1
2.2.2
2.2.3
2.2.4
2.2.5
2.2.6
2.3
2.3.1
2.3.2
2.4
Contents xi
2.4.1
2.4.2
2.4.3
2.5
2.5.1
Parameters: The Least Squares Method for Linear Regression
2.5.2
Not Linear with Respect to Their Parameters
2.5.3
with Respect to Their Parameters
2.5.4
2.5.5
2.6
2.6.1
Computing the Rank of the Jacobian Matrix
2.6.2
and Leave-One-Out
2.6.3
from the Training Set, and Virtual Leave-One-Out
2.6.4
and Global Approaches
2.7
2.7.1
Representation
2.7.2
Structure, the Training and the Operation of the Model
2.7.3
2.7.4
Black-Box Modeling
2.7.5
2.8
2.8.1
2.9
2.10
2.10.1
2.10.2
2.10.3
2.10.4
Cumulative Distribution Function of the Rank of the
Probe Feature
2.10.5
2.10.6
2.10.7
2.10.8
References
xii Contents
3
Resampling Methods
J.-M. Martinez
3.1
3.2
3.2.1
3.2.2
3.2.3
3.3
3.4
3.4.1
3.5
3.5.1
3.5.2
3.5.3
3.5.4
3.5.5
3.5.6
3.6
3.6.1
3.6.2
3.6.3
3.6.4
3.6.5
3.6.6
References
4
Recurrent Networks
M. Samuelides
4.1
Dynamical Systems
4.1.1
State Equation
4.1.2
4.1.3
4.1.4
4.1.5
4.1.6
Systems with Noise
4.1.7
State Dynamical System with Noise
4.1.8
4.1.9
4.2
Contents xiii
4.2.1 Linear Regression
4.2.2 Nonlinear Identification
4.3
Method
4.3.1
4.3.2
4.3.3
4.3.4
4.3.5
Dynamical System
4.4
4.4.1
4.4.2
4.4.3
4.5
4.5.1
System
4.5.2
System
4.5.3
4.5.4
4.6
4.6.1
4.6.2
Through Time (BPTT)
4.6.3
(RTRL)
4.6.4
Dynamical System Identification
4.7
4.7.1
Propagation
4.7.2
Dynamics
References
5
M. Samuelides
5.1
5.1.1
5.1.2
5.1.3
5.2
5.2.1
5.2.2
xiv Contents
5.2.3
5.2.4
5.3
5.3.1
Space
5.3.2
5.3.3
5.3.4
5.3.5
Cost
5.3.6
5.4
5.4.1
Reinforcement Learning
5.4.2
5.4.3
5.4.4
References
6
M. B. Gordon
6.1
6.1.1
6.1.2
6.2
6.3
6.3.1
6.3.2
6.3.3
6.4
6.4.1
6.4.2
6.4.3
6.4.4
6.4.5
6.4.6
6.4.7
6.5
6.5.1
6.5.2
6.5.3
6.6
6.7
6.7.1
Contents xv
6.7.2
Functions
6.7.3
6.7.4
6.7.5
6.8
6.8.1
Algorithm
6.8.2
References
7
F. Badran, M. Yacoub, and S. Thiria
7.1
7.2
7.2.1
7.2.2
7.2.3
7.3
7.3.1
7.3.2
7.3.3
7.3.4
7.3.5
7.3.6
7.3.7
7.3.8
7.4
7.4.1
7.4.2
7.4.3
7.5
7.5.1
7.5.2
7.5.3
References
8
L.
8.1
8.1.1
8.1.2
8.2
8.2.1
8.3
xvi Contents
8.4
8.5
8.5.1
8.5.2
8.5.3
8.6
8.6.1
8.6.2
8.6.3
8.6.4
8.6.5
8.7
8.8
8.9
8.10
8.10.1
References
About the Authors
Index
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| dewey-search | 006.3/2 |
| dewey-sort | 16.3 12 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Physik Informatik |
| format | Book |
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| indexdate | 2024-07-09T20:01:06Z |
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| isbn | 3540229809 9783540229803 |
| language | English French |
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| physical | XVIII, 497 S. graph. Darst. 235 mm x 155 mm |
| publishDate | 2005 |
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| spelling | Réseaux de neurones - Méthodologies et application Neural networks methodology and applications G. Dreyfus Berlin [u.a.] Springer 2005 XVIII, 497 S. graph. Darst. 235 mm x 155 mm txt rdacontent n rdamedia nc rdacarrier Orig.-Ausg.: Editions Eyrolles Réseaux neuronaux (Informatique) Simulation par ordinateur Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s DE-604 Dreyfus, Gérard Sonstige oth Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012932726&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Neural networks methodology and applications Réseaux neuronaux (Informatique) Simulation par ordinateur Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4226127-2 |
| title | Neural networks methodology and applications |
| title_alt | Réseaux de neurones - Méthodologies et application |
| title_auth | Neural networks methodology and applications |
| title_exact_search | Neural networks methodology and applications |
| title_full | Neural networks methodology and applications G. Dreyfus |
| title_fullStr | Neural networks methodology and applications G. Dreyfus |
| title_full_unstemmed | Neural networks methodology and applications G. Dreyfus |
| title_short | Neural networks |
| title_sort | neural networks methodology and applications |
| title_sub | methodology and applications |
| topic | Réseaux neuronaux (Informatique) Simulation par ordinateur Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Réseaux neuronaux (Informatique) Simulation par ordinateur Neural networks (Computer science) Neuronales Netz |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012932726&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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