Recent advances in intelligent engineering systems:
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg
Springer
2011
|
| Schriftenreihe: | Studies in computational intelligence
378 |
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XX, 439 S. Ill., graph. Darst. 24 cm |
| ISBN: | 9783642232282 3642232280 |
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Datensatz im Suchindex
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IMAGE 1
CONTENTS
PART I: FOUNDATION OF COMPUTATIONAL INTELLIGENCE 1 ANALYSIS OF ALLELE
DISTRIBUTION DYNAMICS IN DIFFERENT GENETIC ALGORITHMS 3
MICHAEL AFFENZELLER, STEFAN WAGNER, STEPHAN M. WINKLER, ANDREAS BEHAM
1.1 INTRODUCTION 3
1.2 THEORETICAL FOUNDATIONS 5
1.2.1 SCHEMA THEOREM AND BUILDING BLOCK HYPOTHESIS 5 1.2.2 STAGNATION
AND PREMATURE CONVERGENCE 6
1.2.3 OFFSPRING SELECTION (OS) 8
1.2.4 THE RELEVANT ALLELES PRESERVING GENETIC ALGORITHM (RAPGA) 10
1.2.5 CONSEQUENCES ARISING OUT OF OFFSPRING SELECTION AND RAPGA 13
1.3 BUILDING BLOCK ANALYSIS FOR STANDARD GENETIC ALGORITHMS 15 1.4
BUILDING BLOCK ANALYSIS FOR GAS USING OFFSPRING SELECTION 19 1.5
BUILDING BLOCK ANALYSIS FOR THE RELEVANT ALLELES PRESERVING GA (RAPGA)
23
1.6 CONCLUSION 28
REFERENCES 28
2 PLIANT OPERATOR SYSTEM 31
JOZSEFDOMBI 2.1 PLIANT TRIANGULAR NORMS 31
2.1.1 INTRODUCTION AND SOME ELEMENTARY CONSIDERATIONS 31 2.1.2 DEMORGAN
LAW AND GENERAL FORM OF NEGATION 34
BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1013511441
DIGITALISIERT DURCH
IMAGE 2
XIV CONTENTS
2.1.3 OPERATORS WITH INFINITELY MANY NEGATIONS 39
2.1.4 MULTIPLICATIVE PLIANT SYSTEMS 39
2.2 UNINORMS, AGGREGATIVE OPERATORS 40
2.2.1 INTRODUCTION 40
2.2.2 THE NEUTRAL VALUE 43
2.2.3 ON ADDITIVE AND MULTIPLICATIVE REPRESENTATIONS OF STRICT
CONJUNCTIVE AND DISJUNCTIVE OPERATORS 46 2.2.4 THE WEIGHTED AGGREGATIVE
OPERATOR 49
2.3 INFINITELY MANY NEGATION WHEN THE SELF-DE MORGAN IDENTITY HOLDS 50
2.3.1 STRICT T-NORMS, T-CONORMS AND AGGREGATIVE OPERATORS . . 51 2.3.2
PLIANT OPERATORS 53
2.3.3 SUMMARY 54
REFERENCES 56
3 COORDINATED AND RECORDED HUMAN INTERACTIONS FOR ENHANCED INTELLIGENCE
IN PRODUCT MODEL 59
LASZLO HORVATH, IMRE J. RUDAS 3.1 INTRODUCTION 59
3.2 PRELIMINARIES 61
3.3 KNOWLEDGE IN PRODUCT MODEL 63
3.4 DEFINITION OF PRODUCT OBJECTS 67
3.5 REPRESENTATION OF NEW CONTENT DEFINITION 69
3.6 IMPLEMENTATION 75
3.7 CONCLUSIONS 77
REFERENCES 77
4 OPTIMIZATION TECHNOLOGIES FOR HARD PROBLEMS 79
CZESLAW SMUTNICKI 4.1 INTRODUCTION 79
4.2 TROUBLES OF OPTIMIZATION 80
4.3 SPACE LANDSCAPE 83
4.4 SOLUTION METHODS 86
4.4.1 EXACT METHODS 86
4.4.2 APPROXIMATE METHODS 87
4.5 MODERN APPROACHES 90
4.6 CONCLUSION 102
REFERENCES 103
5 COOPERATION PARTICLE SWARM OPTIMIZATION WITH DISCRETE EVENTS SYSTEMS
BY DYNAMICAL RESCHEDULING 105
JAN ZELENKA 5.1 SCHEDULING PROBLEM 105
5.2 MANUFACTURING SYSTEM DESCRIPTION AND SCHEDULING PROBLEM
CLASSIFICATION 109
5.3 MANUFACTURING SYSTEM AS DISCRETE EVENT SYSTEM 115
5.4 OPTIMIZATION TASK 116
IMAGE 3
CONTENTS XV
5.5 SCHEDULING ALGORITHM AND ALGORITHM FLOW 116
5.6 THE SIMEVENTS TOOLBOX AND MODEL DESCRIPTION 125
5.7 CONCLUSION 128
REFERENCES 129
6 MULTIOBJECTIVE DIFFERENTIAL EVOLUTION ALGORITHM WITH SELF-ADAPTIVE
LEARNING PROCESS 131
ANDRZEJ CICHON, EWA SZLACHCIC 6.1 INTRODUCTION 131
6.2 MULTIOBJECTIVE OPTIMIZATION PROBLEM 132
6.3 DIFFERENTIAL EVOLUTION AND ITS MULTIOBJECTIVE VARIANT 133 6.3.1
DIFFERENTIAL EVOLUTION 134
6.3.2 DIFFERENTIAL EVOLUTION FOR MULTIOBJECTIVE OPTIMIZATION .136 6.4
DIFFERENTIAL EVOLUTION FOR MULTIOBJECTIVE OPTIMIZATION WITH SELF
ADAPTATION 137
6.4.1 STRATEGY ADAPTATION 138
6.4.2 PARAMETERS ADAPTATION 139
6.5 NUMERICAL RESULTS 139
6.5.1 TEST PROBLEMS AND PARAMETER SETTINGS 139
6.5.2 EFFICIENCY METRICS 140
6.5.3 CONVERGENCE RATE 142
6.5.4 QUALITY OF SOLUTIONS SETS 144
6.5.5 DYNAMICS OF PARAMETERS IN THE LEARNING PROCESS 144 6.6 CONCLUSION
148
REFERENCES 149
7 MODEL COMPLEXITY OF NEURAL NETWORKS IN HIGH-DIMENSIONAL APPROXIMATION
151
VERA KURKOVA 7.1 INTRODUCTION 151
7.2 APPROXIMATION FROM A DICTIONARY 152
7.3 NORMS INDUCED BY DICTIONARIES 153
7.4 TRACTABILITY FOR BALLS IN VARIATIONAL NORMS 154
7.5 TRACTABILITY FOR SETS OF SMOOTH FUNCTIONS 156
7.6 CONCLUSION 159
REFERENCES 159
8 A COMPREHENSIVE SURVEY ON FITNESS LANDSCAPE ANALYSIS 161 ERIK PITZER,
MICHAEL AFFENZELLER 8.1 INTRODUCTION 161
8.1.1 DEFINITION 162
8.1.2 PURPOSE 163
8.2 FITNESS LANDSCAPE ANALYSIS 164
8.2.1 LOCAL OPTIMA AND PLATEAUS: MODALITY 164
8.2.2 BASINS OF ATTRACTION 165
8.2.3 BARRIERS 167
IMAGE 4
XVI CONTENTS
8.2.4 LANDSCAPE WALKS 168
8.2.5 RUGGEDNESS 169
8.2.6 SPECTRAL LANDSCAPE ANALYSIS 171
8.2.7 INFORMATION ANALYSIS 172
8.2.8 FITNESS DISTANCE CORRELATION 174
8.2.9 EVOLVABILITY 176
8.2.10 NEUTRALITY 179
8.2.11 EPISTASIS 180
8.3 POPULAR PROBLEM CLASSES 181
8.3.1 ADDITIVE RANDOM FIELDS 181
8.3.2 COMBINATORIAL PROBLEMS 184
8.4 CONCLUSION 186
REFERENCES 186
PART II: INTELLIGENT COMPUTATION IN NETWORKS
9 SELF-ORGANIZING MAPS FOR EARLY DETECTION OF DENIAL OF SERVICE ATTACKS
195
MIGUEL ANGEL PEREZ DEL PINO, PATRICIO GARCIA BAEZ, PABLO FERNANDEZ
LOPEZ, CARMEN PAZ SUAREZ ARAUJO 9.1 INTRODUCTION 195
9.2 FINGERPRINTS OF DOS ATTACKS 198
9.3 SOM-BASED SYSTEM FOR DOS ATTACKS DETECTION (CISDAD) 199 9.3.1
PRE-PROCESSING MODULE 200
9.3.2 PROCESSING MODULE 204
9.3.3 APPLICATION FIELDS 205
9.4 CISDAD COMPUTATIONAL ANALYSIS 207
9.4.1 STUDY A 208
9.4.2 STUDY B 209
9.4.3 RESULTS AND DISCUSSION 212
9.5 CONCLUSION 216
REFERENCES 217
10 COMBATING SECURITY THREATS VIA IMMUNITY AND ADAPTABILITY IN COGNITIVE
RADIO NETWORKS 221
JAN NIKODEM, ZENON CHACZKO, MACIEJ NIKODEM, RYSZARD KLEMPOUS, RUCKSHAN
WICKRAMASOORIYA 10.1 INTRODUCTION 221
10.1.1 BENEFITS OF COGNITIVE RADIO 222
10.1.2 APPLICATIONS OF COGNITIVE RADIO 222
10.1.3 CHALLENGES TO COGNITIVE RADIO 223
10.2 SECURITY THREATS IN COGNITIVE RADIO SYSTEMS 224
10.2.1 CR THREAT TYPES 226
10.2.2 CLASSES OF ATTACKS 226
10.2.3 COUNTER-MEASURES AGAINST ATTACKS 228
IMAGE 5
CONTENTS XVII
10.3 IMMUNITY AND ADAPTABILITY IN CR APPLICATIONS 229
10.3.1 BASIC IDEAS AND THE RATIONALE 229
10.3.2 MATHEMATICAL MODEL 229
10.3.3 IMMUNITY AND ADAPTABILITY FUNCTIONS 231
10.4 MODELING AND SIMULATION RESULTS 233
10.4.1 PRACTICAL IMPLEMENTATION IN MATLAB 233
10.4.2 IMPLEMENTATION OF RELATIONAL MODEL FOR CROSSBOW'S XMESH PLATFORM
238
10.5 CONCLUSION 239
REFERENCES 242
11 NOVEL MODIFICATIONS IN WSN NETWORK DESIGN FOR IMPROVED SNR AND
RELIABILITY 243
KAMIL STANIEC, GRZEGORZ DEBITA 11.1 INTRODUCTION 243
11.2 SENSOR NETWORKS WITH A COORDINATOR 244
11.2.1 FULLY SCATTERED NETWORKS WITHOUT COORDINATOR 245 11.3
NEIGHBOR-SEARCHING ROUTINE IN WSN 246
11.4 ZIGBEE SYSTEM 248
11.5 INTERFERENCE ORIGIN IN WSN 249
11.6 ANTENNA BEAMWIDTH CONTROL 250
11.7 RESULTS OF SIMULATIONS 251
11.8 RELIABILITY IN MESH NETWORK DESIGN 254
11.9 CONCLUSION 258
REFERENCES 258
12 A CONCEPTUAL FRAMEWORK FOR THE DESIGN OF AUDIO BASED COGNITIVE
INFOCOMMUNICATION CHANNELS 261
ADAM CSAPO, PETER BARANYI 12.1 INTRODUCTION 261
12.2 PROBLEM DESCRIPTION 263
12.3 INTERACTION-BASED MODEL FOR SYNTHESIS ALGORITHM DESIGN 263 12.3.1
BASIC DEFINITIONS 264
12.3.2 PERCEPTUAL ICONS, BODY ICONS AND INTERACTIVE ICONS 265 12.3.3
METHODOLOGY FOR THE DESIGN OF SYNTHESIS ALGORITHMS . . 267 12.4
INTERACTION-BASED MODEL FOR PARAMETER GENERATING FUNCTION DESIGN 268
12.4.1 MATHEMATICAL BACKGROUND 269
12.4.2 TUNING MODEL FOR DISCRETIZED MULTIVARIATE FUNCTIONS .270 12.4.3
APPLICATION OF THE TUNING MODEL TO COGNITIVE INFOCOMMUNICATION CHANNELS
272
12.5 EXAMPLE APPLICATION: MAPPING SURFACE PROPERTIES TO AUDITORY
COMMUNICATION CHANNELS 272
12.5.1 SYNTHESIS ALGORITHM DESIGN 272
12.5.2 ORCHESTRATION OF SYNTHESIS ALGORITHMS 275
12.5.3 PSYCHOPHYSICAL ASPECTS 275
IMAGE 6
XVIII CONTENTS
12.6 EXPERIMENTAL RESULTS 276
12.6.1 METHODS 277
12.6.2 TEST RESULTS 277
12.7 CONCLUSION 279
REFERENCES 280
13 ADVANTAGES OF FUZZY AND ANYTIME SIGNAL- AND IMAGE PROCESSING
TECHNIQUES - A CASE STUDY 283
TEREZA. VARKONYI 13.1 INTRODUCTION 283
13.2 ANYTIME SIGNAL PROCESSING TECHNIQUES 285
13.2.1 ANYTIME SYSTEMS 285
13.2.2 BLOCK-RECURSIVE AVERAGING 285
13.2.3 ANYTIME FOURIER TRANSFORMATION 288
13.3 FUZZY BASED INFORMATION PROCESSING TECHNIQUES 289 13.3.1 FUZZY
BASED NOISE ELIMINATION 290
13.3.2 FUZZY BASED EDGE DETECTION 291
13.3.3 FUZZY BASED CORNER DETECTION 294
13.4 COMBINING ANYTIME AND FUZZY TECHNIQUES 296
13.5 CONCLUSION 299
REFERENCES 300
PART III: APPLICATION OF COMPUTATIONAL INTELLIGENCE
14 DIFFERENTIAL DIAGNOSIS OF DEMENTIA USING HUMANN-S BASED ENSEMBLES 305
PATRICIO GARCIA BAEZ, CARMEN PAZ SUAREZ ARAUJO, CARLOS FERNANDEZ
VIADERO, ALES PROCHAZKA 14.1 INTRODUCTION 306
14.2 DATASETS 308
14.3 HUMANN-S BASED ENSEMBLES 310
14.3.1 SUPERVISED HUMANN 310
14.3.2 NEURAL NETWORK ENSEMBLES 313
14.3.3 HUMANN-S ENSEMBLES 315
14.4 RESULTS AND DISCUSSION 317
14.5 CONCLUSION 321
REFERENCES 322
15 TEXTURE CLASSIFICATION IN BIOINDICATOR IMAGES PROCESSING 325 MARTINA
MUDROVA, PETRA SLAVIKOVA, ALES PROCHAZKA 15.1 INTRODUCTION 325
15.2 IMAGE PREPROCESSING 329
15.2.1 IMAGE RESIZING 329
15.2.2 ENERGY NORMALIZATION 330
15.2.3 MEDIAN FILTERING 330
IMAGE 7
CONTENTS XIX
15.3 TEXTURE ANALYSIS METHODS 330
15.3.1 GRADIENT METHODS AND EDGE DETECTION 331
15.3.2 WAVELET TRANSFORM USE FOR IMAGE CLASSIFICATION 332 15.4 RESULTS
335
15.5 CONCLUSION 336
REFERENCES 337
16 IDENTIFICATION APPROACH LIP-BASED BIOMETRIE 341
CARLOS M. TRAVIESO, JUAN C. BRICENO, JESUS B. ALONSO 16.1 INTRODUCTION
341
16.2 FACE AND LIP DETECTION 344
16.3 PARAMETERIZATION SYSTEM 344
16.3.1 SHAPE CODING 344
16.4 CLASSIFICATION APPROACH 347
16.4.1 HMM CLASSIFICATION APPROACH 347
16.4.2 DATA TRANSFORMATION 349
16.4.3 SVM CLASSIFICATION APPROACH 350
16.5 EXPERIMENTAL SETTING AND RESULTS 352
16.5.1 METHODOLOGY OF EXPERIMENTAL SETTING 352
16.5.2 HMM EXPERIMENTS AND RESULTS 352
16.5.3 SVM EXPERIMENTS AND RESULTS 355
16.6 DISCUSSION 358
16.7 CONCLUSION 359
REFERENCES 359
17 COMPUTATIONAL INTELLIGENCE IN MULTI-CHANNEL EEG SIGNAL ANALYSIS . . 3
61 ALES PROCHAZKA, MARTINA MUDROVA, OLDFICH VYSATA, LUCIE GRAFOVA,
CARMEN PAZ SUAREZARAUJO 17.1 INTRODUCTION 361
17.2 WAVELET DECOMPOSITION AND RECONSTRUCTION 364
17.3 SIGNAL DE-NOISING 367
17.4 FEATURE TRANSFORMS 369
17.4.1 PRINCIPAL COMPONENT ANALYSIS 369
17.4.2 INDEPENDENT COMPONENT ANALYSIS : 371
17.5 SIGNAL SEGMENTATION 372
17.6 FEATURE EXTRACTION 373
17.7 CLASSIFICATION 373
17.8 DISTRIBUTED COMPUTING 376
17.9 CONCLUSION 378
REFERENCES 378
18 WEBSERVICE-BASED SOLUTION FOR AN INTELLIGENT TELECARE SYSTEM 383
VASILE STOICU-TIVADAR, LAECRAEMIOARA STOICU-TIVADAR, SORIN PUSCOCI, DORIN
BERIAN, VASILE TOPAC 18.1 INTRODUCTION 383
18.2 TELE-CARE PROJECTS 385
IMAGE 8
XX CONTENTS
18.3 THE TELEASIS SYSTEM 388
18.3.1 TELEASIS PLATFORM ARCHITECTURE 389
18.3.2 HARDWARE PLATFORM AND INFRASTRUCTURE 391
18.3.3 SOFTWARE PLATFORM 393
18.4 THE DISPATCHER COMPONENT 395
18.5 THE WEB SERVICE 399
18.6 FUTURE DEVELOPMENT: A BETTER ACCESSIBILITY TO INFORMATION 402 18.7
CONCLUSIONS 405
REFERENCES 406
19 LEARNING IRIS BIOMETRIE DIGITAL IDENTITIES FOR SECURE AUTHENTICATION:
A NEURAL-EVOLUTIONARY PERSPECTIVE PIONEERING INTELLIGENT IRIS
IDENTIFICATION 409
NICOLAIE POPESCU-BODORIN, VALENTINA EMILIA BALAS 19.1 INTRODUCTION 409
19.2 TERMINOLOGY AND PROBLEM FORMULATION 412
19.2.1 FALSE ACCEPT/REJECT, TRUE ACCEPT/REJECT 412
19.2.2 WHY MULTI-ENROLLMENT? 414
19.3 PROPOSED METHOD 414
19.3.1 LOGICAL FRAMEWORK: CONSISTENT BIOMETRY 415
19.3.2 INTERNAL LOGIC, KNOWLEDGE AND SELF-AWARENESS REPRESENTATION FOR
INTELLIGENT SYSTEMS 417
19.3.3 IRIS SEGMENTATION AND ENCODING 418
19.3.4 SELECTING AND ALIGNING THE ENROLLMENT TEMPLATES 418 19.3.5
LEARNING EVOLUTIONARY DIGITAL BIOMETRIE IDENTITIES 419 19.3.6 ARTIFICIAL
NEURAL NETWORK SUPPORT FOR CONSISTENT ENROLLMENT 421
19.3.7 THE IMPORTANCE OF BEING AWARE 422
19.3.8 THE PROTOTYPE OF INTELLIGENT IRIS VERIFIERS 423
19.3.9 EVOLUTIONARY NETWORK - THE KEY FACTOR IN ACHIEVING SUPERIOR
LEVELS OF INTELLIGENCE 424
19.3.10 NEW SAFETY STANDARDS FOR LOGICALLY CONSISTENT BIOMETRIE PURPOSES
427
19.3.11 NEW CHALLENGES - NEW RESULTS 428
19.3.12 LOGICAL CONSISTENCY VS. SAFETY 430
19.3.13 COMPARISON TO A RESULT PREVIOUSLY OBTAINED BY DAUGMAN 431
19.3.14 ANOTHER QUESTION 432
19.4 CONCLUSION 433
REFERENCES 433
AUTHOR INDEX 435
SUBJECT INDEX 437 |
| any_adam_object | 1 |
| author2 | Fodor, János 1956- |
| author2_role | edt |
| author2_variant | j f jf |
| author_GND | (DE-588)121943909 |
| author_facet | Fodor, János 1956- |
| building | Verbundindex |
| bvnumber | BV039694616 |
| classification_rvk | ST 300 |
| ctrlnum | (OCoLC)762099736 (DE-599)DNB1013511441 |
| dewey-full | 006.3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.3 |
| dewey-search | 006.3 |
| dewey-sort | 16.3 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik Medizin |
| format | Book |
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| genre | (DE-588)4143413-4 Aufsatzsammlung gnd-content |
| genre_facet | Aufsatzsammlung |
| id | DE-604.BV039694616 |
| illustrated | Illustrated |
| indexdate | 2024-07-21T00:15:32Z |
| institution | BVB |
| isbn | 9783642232282 3642232280 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-024543296 |
| oclc_num | 762099736 |
| open_access_boolean | |
| owner | DE-11 |
| owner_facet | DE-11 |
| physical | XX, 439 S. Ill., graph. Darst. 24 cm |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | Springer |
| record_format | marc |
| series | Studies in computational intelligence |
| series2 | Studies in computational intelligence |
| spelling | Recent advances in intelligent engineering systems János Fodor ... (ed.) Berlin ; Heidelberg Springer 2011 XX, 439 S. Ill., graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Studies in computational intelligence 378 Literaturangaben Lernendes System (DE-588)4120666-6 gnd rswk-swf Soft Computing (DE-588)4455833-8 gnd rswk-swf Rechnernetz (DE-588)4070085-9 gnd rswk-swf Angewandte Informatik (DE-588)4112526-5 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content Soft Computing (DE-588)4455833-8 s DE-604 Rechnernetz (DE-588)4070085-9 s Lernendes System (DE-588)4120666-6 s Angewandte Informatik (DE-588)4112526-5 s Fodor, János 1956- (DE-588)121943909 edt Erscheint auch als Online-Ausgabe Recent Advances in Intelligent Engineering Systems Studies in computational intelligence 378 (DE-604)BV020822171 378 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=3853556&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024543296&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Recent advances in intelligent engineering systems Studies in computational intelligence Lernendes System (DE-588)4120666-6 gnd Soft Computing (DE-588)4455833-8 gnd Rechnernetz (DE-588)4070085-9 gnd Angewandte Informatik (DE-588)4112526-5 gnd |
| subject_GND | (DE-588)4120666-6 (DE-588)4455833-8 (DE-588)4070085-9 (DE-588)4112526-5 (DE-588)4143413-4 |
| title | Recent advances in intelligent engineering systems |
| title_auth | Recent advances in intelligent engineering systems |
| title_exact_search | Recent advances in intelligent engineering systems |
| title_full | Recent advances in intelligent engineering systems János Fodor ... (ed.) |
| title_fullStr | Recent advances in intelligent engineering systems János Fodor ... (ed.) |
| title_full_unstemmed | Recent advances in intelligent engineering systems János Fodor ... (ed.) |
| title_short | Recent advances in intelligent engineering systems |
| title_sort | recent advances in intelligent engineering systems |
| topic | Lernendes System (DE-588)4120666-6 gnd Soft Computing (DE-588)4455833-8 gnd Rechnernetz (DE-588)4070085-9 gnd Angewandte Informatik (DE-588)4112526-5 gnd |
| topic_facet | Lernendes System Soft Computing Rechnernetz Angewandte Informatik Aufsatzsammlung |
| url | http://deposit.dnb.de/cgi-bin/dokserv?id=3853556&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=024543296&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV020822171 |
| work_keys_str_mv | AT fodorjanos recentadvancesinintelligentengineeringsystems |