Artificial neural networks for intelligent manufacturing:
Gespeichert in:
| Format: | Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
London u.a.
Chapman & Hall
1994
|
| Ausgabe: | 1. ed. |
| Schriftenreihe: | Intelligent manufacturing series
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVI, 469 S. Ill., graph. Darst. |
| ISBN: | 0412480506 |
Internformat
MARC
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| 245 | 1 | 0 | |a Artificial neural networks for intelligent manufacturing |c ed. by Cihan H. Dagli |
| 250 | |a 1. ed. | ||
| 264 | 1 | |a London u.a. |b Chapman & Hall |c 1994 | |
| 300 | |a XVI, 469 S. |b Ill., graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Intelligent manufacturing series | |
| 650 | 4 | |a Fabrication | |
| 650 | 7 | |a Informatiesysteemontwikkeling |2 gtt | |
| 650 | 7 | |a Neurale netwerken |2 gtt | |
| 650 | 7 | |a Productie |2 gtt | |
| 650 | 4 | |a Réseaux neuronaux (Informatique) | |
| 650 | 4 | |a Manufacturing processes | |
| 650 | 4 | |a Neural networks (Computer science) | |
| 650 | 0 | 7 | |a Fertigungstechnik |0 (DE-588)4329079-6 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
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| 689 | 0 | |5 DE-604 | |
| 689 | 1 | 0 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
| 689 | 1 | 1 | |a Fertigungstechnik |0 (DE-588)4329079-6 |D s |
| 689 | 1 | |5 DE-604 | |
| 700 | 1 | |a Dagli, Cihan H. |e Sonstige |4 oth | |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-005982691 | ||
Datensatz im Suchindex
| _version_ | 1804123396144889856 |
|---|---|
| adam_text | Contents
Contributors xiii
Preface xv
PART ONE Intelligent manufacturing: Basic concepts and tools 1
1 Intelligent manufacturing systems 3
Cihan H. Dagli
1.1 Manufacturing systems and strategies 4
1.2 Hierarchical levels in manufacturing 7
1.3 Characteristics of intelligent 13
manufacturing systems
1.4 Summary 15
References 16
2 Intelligent systems architecture: Design 17
techniques
Deborah Stacey
2.1 Introduction 17
2.2 Knowledge based systems 18
2.3 Artificial neural networks 24
2.4 Hybrid intelligent systems 30
2.5 Manufacturing systems implementations 34
2.6 Summary 35
References 37
3 Basic artificial neural network architectures 39
Cihan H. Dagli and Pipatpong Poshyanonda
3.1 Basic concepts 39
3.2 Perceptron 43
3.3 Back propagation 48
3.4 Adaptive resonance theory 56
3.5 Summary 64
References 64
4 Hybrid intelligent systems: Tools for decision 67
making in intelligent manufacturing
Gregory R. Madey, Jay Weinroth and Vijay Shah
4.1 Overview 67
viii Contents
4.2 Manufacturing decision making problems: 68
organization, coordination and executing
levels
4.3 Hybrid intelligent systems developed 71
out of neural networks
4.4 Survey of neural network hybrid 77
intelligent systems
4.5 Case study of the development of a 81
hybrid intelligent system for decision
making in manufacturing
4.6 Summary 86
References 87
PART TWO Neurocomputing for intelligent manufacturing: 91
Organization and coordination level applications
5 Conceptual design problem 93
AH Bahrami and Cihan H. Dagli
5.1 Characteristics of design problem 93
5.2 Introduction to fuzzy sets and binary 98
relationships between functions and
structures
5.3 Sample problem definition 101
5.4 Fuzzy knowledge representations 102
5.5 Mapping fuzzy functional requirements 105
to design structure by FAM
5.6 Implementation and input/output 106
representations
5.7 Experimental results 108
5.8 Summary 109
References 109
6 Machine part family formation 111
Cesar 0. Malave and Satheesh Ramachandran
6.1 Characteristics of group technology 111
6.2 Neural network approach 117
6.3 Discussion 138
References 141
7 Process planning 143
Madhusudhan Posani and Cihan H. Dagli
7.1 Characteristics of process planning 143
7.2 Sample problem definition 149
7.3 Development of network architecture 150
7.4 Artificial neural network implementation 154
7.5 Performance of the intelligent system 154
architecture
Contents ix
7.6 Summary 156
References 157
8 Scheduling 159
John Y. Cheung
8.1 Characteristics of scheduling problems 159
8.2 The Hopfield net approach 161
8.3 Simulated annealing 174
8.4 Other neural network techniques 182
8.5 Summary 186
References 186
9 Automated assembly systems 195
Cihan H. Dagli and Mahesh Kumar Vellanki
9.1 Automated assembly 196
9.2 Generic assembly cell 198
9.3 Power supply board assembly: 211
A case study
9.4 Summary 227
References 228
10 Manufacturing feature identification 229
Mark R. Henderson
10.1 Characteristics of manufacturing features 229
10.2 Sample problem definition 239
10.3 Development of network architecture 241
10.4 Artificial neural network implementation 247
10.5 Performance of the intelligent system 253
architecture
10.6 Summary 260
Acknowledgements 263
References 263
11 Vision based inspection 265
Joydeep Ghosh
11.1 Introduction 265
11.2 Characteristics of vision based inspection 267
systems
11.3 Representation of 3D objects 269
11.4 Modeling and matching strategies 272
11.5 Artificial neural networks (ANNs) for 273
vision based inspection
11.6 Viewer centered object recognition 280
11.7 Direct, object based ANN approaches 292
11.8 Concluding remarks 293
Acknowledgements 294
References 294
x Contents
12 Performance analysis of artificial neural 299
network methods
Benito Fernandez R.
12.1 Introduction 299
12.2 Artificial neural systems in 300
manufacturing
12.3 The power of neural networks 301
12.4 Artificial neural network paradigms in 309
manufacturing
12.5 Performance analysis 314
12.6 Benchmarks 321
12.7 Simulation paradox 338
12.8 Performance measures 341
12.9 Decision functions 345
12.10 Metrics from measure 347
12.11 Cluster analysis 348
12.12 ANN paradigm selection in 352
manufacturing
12.13 Tools that increase performance 353
12.14 Summary 363
References • 363
PART THREE Neurocomputing for intelligent manufacturing: 369
Execution level applications
13 Process monitoring and control 371
Michel Guillot, Riadh Azouzi and
Marie Claude Cote
13.1 Introduction to process monitoring 371
and control
13.2 Neural, network models for process 376
monitoring and control
13.3 Neural network approaches to process 378
monitoring
13.4 Neural network approaches to process 380
control
13.5 Implementation cases 384
13.6 Summary 396
References 396
14 Adaptive control in manufacturing 399
Yung Shin
14.1 Characteristics of adaptive control 399
systems
14.2 Sample problem definition 403
14.3 Adaptive neuro control architecture 406
Contents xi
14.4 Performance of adaptive neuro control 410
systems
14.5 Conclusions 411
References 411
15 Fuzzy neural control 413
L.H. Tsoukalas, A. Ikonomopbulos and
R.E. Uhrig
15.1 Problem of fuzzy control 413
15.2 Fuzzy neural architectures 417
15.3 Development of system architecture 422
15.4 Fuzzy neural network implementation 430
and performance
15.5 Summary 432
References 433
16 Neural networks in continuous process 435
diagnostics
Najwa S. Merchawi and Soundar R.T. Kumara
16.1 Introduction 436
16.2 Neural networks for diagnostics 436
16.3 Problem description 437
16.4 Knowledge representation for continuous 439
process diagnostics by a neural network
16.5 Example problem: The TM1 2 nuclear 442
reactor
16.6 Implementation and simulation results 447
16.7 Summary and conclusions 460
References 461
Index 463
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| discipline | Informatik Fertigungstechnik Werkstoffwissenschaften / Fertigungstechnik Wirtschaftswissenschaften |
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| indexdate | 2024-07-09T17:29:06Z |
| institution | BVB |
| isbn | 0412480506 |
| language | English |
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| physical | XVI, 469 S. Ill., graph. Darst. |
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| series2 | Intelligent manufacturing series |
| spelling | Artificial neural networks for intelligent manufacturing ed. by Cihan H. Dagli 1. ed. London u.a. Chapman & Hall 1994 XVI, 469 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Intelligent manufacturing series Fabrication Informatiesysteemontwikkeling gtt Neurale netwerken gtt Productie gtt Réseaux neuronaux (Informatique) Manufacturing processes Neural networks (Computer science) Fertigungstechnik (DE-588)4329079-6 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s DE-604 Fertigungstechnik (DE-588)4329079-6 s Dagli, Cihan H. Sonstige oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005982691&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Artificial neural networks for intelligent manufacturing Fabrication Informatiesysteemontwikkeling gtt Neurale netwerken gtt Productie gtt Réseaux neuronaux (Informatique) Manufacturing processes Neural networks (Computer science) Fertigungstechnik (DE-588)4329079-6 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4329079-6 (DE-588)4226127-2 |
| title | Artificial neural networks for intelligent manufacturing |
| title_auth | Artificial neural networks for intelligent manufacturing |
| title_exact_search | Artificial neural networks for intelligent manufacturing |
| title_full | Artificial neural networks for intelligent manufacturing ed. by Cihan H. Dagli |
| title_fullStr | Artificial neural networks for intelligent manufacturing ed. by Cihan H. Dagli |
| title_full_unstemmed | Artificial neural networks for intelligent manufacturing ed. by Cihan H. Dagli |
| title_short | Artificial neural networks for intelligent manufacturing |
| title_sort | artificial neural networks for intelligent manufacturing |
| topic | Fabrication Informatiesysteemontwikkeling gtt Neurale netwerken gtt Productie gtt Réseaux neuronaux (Informatique) Manufacturing processes Neural networks (Computer science) Fertigungstechnik (DE-588)4329079-6 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Fabrication Informatiesysteemontwikkeling Neurale netwerken Productie Réseaux neuronaux (Informatique) Manufacturing processes Neural networks (Computer science) Fertigungstechnik Neuronales Netz |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005982691&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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