New trends in neural computation: International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings
Gespeichert in:
| Format: | Tagungsbericht Buch |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Berlin u.a.
Springer
1993
|
| Schriftenreihe: | Lecture notes in computer science
686 |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XVII, 746 S. graph. Darst. |
| ISBN: | 3540567984 0387567984 |
Internformat
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| 245 | 1 | 0 | |a New trends in neural computation |b International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings |c J. Mira ... (eds.) |
| 264 | 1 | |a Berlin u.a. |b Springer |c 1993 | |
| 300 | |a XVII, 746 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in computer science |v 686 | |
| 650 | 4 | |a Neural networks (Computer science) -- Congresses | |
| 650 | 0 | 7 | |a Künstliche Intelligenz |0 (DE-588)4033447-8 |2 gnd |9 rswk-swf |
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| 655 | 7 | |0 (DE-588)1071861417 |a Konferenzschrift |y 1993 |z Sitges |2 gnd-content | |
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| 700 | 1 | |a Mira, José |e Sonstige |4 oth | |
| 711 | 2 | |a IWANN |n 2 |d 1993 |c Sitges |j Sonstige |0 (DE-588)5085330-2 |4 oth | |
| 830 | 0 | |a Lecture notes in computer science |v 686 |w (DE-604)BV000000607 |9 686 | |
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Datensatz im Suchindex
| _version_ | 1820868049294589952 |
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CONTENTS
1. BIOLOGICAL PERSPECTIVES
BIOPHYSICS OF NEURAL COMPUTATION (INVITED PAPER) 1
K.N. LEIBOVIC
INTEGRATED LEARNING IN RANA COMPUTATRIX 12
F.J. CORBACHO AND MA. ARBIB
A MODEL FOR CENTERING VISUAL STIMULI THROUGH ADAPTIVE VALUE LEARNING 20
A. MARCIANO, J. ZAMORA AND M. REVIRIEGO
A MODEL FOR THE DEVELOPMENT OF NEURONS SELECTIVE TO VISUAL STIMULUS SIZE
24
MA. ANDRADE AND F. MORAN
AN INVARIANT REPRESENTATION MECHANISM AFTER PRESYNAPTIC INHIBITION 30
R. MORENO-DTAZ JR. AND 0. BOLIVAR TOLEDO
THE PANCREATIC B-CELL AS A VOLTAGE-CONTROLLED OSCILLATOR 37
J.V. SANEHEZ-ANDRES AND B. SORIA
APPROXIMATION OF THE SOLUTION OF THE DENDRITIC CABLE EQUATION BY A SMALL
SERIES OF COUPLED DIFFERENTIAL EQUATIONS 43
J. HOEKSTRA
A NEURAL NETWORK MODEL INSPIRED IN GLOBAL APPRECIATIONS ABOUT THE
THALAMIC RETICULAR NUCLEUS AND CEREBRAL CORTEX CONNECTIVITY 49
J. ROPERO PELAEZ
TOWARDS MORE REALISTIC SELF CONTAINED MODELS OF NEURONS: HIGH-ORDER,
RECURRENCE AND LOCAL LEARNING 55
J. MIRA, A.E. DELGADO, JJL. ALVAREZ, A.P. DE MADRID AND M. SANTOS
MCCULLOCH'S NEURONS REVISITED 63
R J. SCOTT
BIOLOGICALLY MOTIVATED APPROACH TO FACE RECOGNITION 68
N. PETKOV, P. KRUIZINGA AND T. LOURENS
LEARNING BY REINFORCEMENT: A PSYCHOBIOLOGICAL MODEL 78
F.J. VICO, F. SANDOVAL AND J. ALMARAZ
A NEURAL STATE MACHINE FOR ICONIC LANGUAGE REPRESENTATION
I. ALEKSANDER AND H. MORTON
84
BIBLIOGRAFISCHE INFORMATIONEN
HTTP://D-NB.INFO/931424453
X
VARIABLE BINDING USING SERIAL ORDER IN RECURRENT NEURAL NETWORKS 90
J. LDPEZ-MOLINER AND J.M. SOPENA
2. MATHEMATICAL MODELS
REGION OF INFLUENCE (ROI) NETWORKS. MODEL AND IMPLEMENTATION 96
F. CASTILLO, J. CABESTANY AND J.M. MORENO
A NODE SPLITTING ALGORITHM THAT REDUCES THE NUMBER OF CONNECTIONS
IN A HAMMING DISTANCE CLASSIFYING NETWORK 102
H. HLINING
A HIGH ORDER NEURAL MODEL 108
FJ. LOPEZ ALIGUE, MJ. ACEVEDO SOTOCA AND MA. JARAMILLO MORAN
HIGHER-ORDER NETWORKS FOR THE OPTIMIZATION OF BLOCK DESIGNS 114
P. BOFILL AND C. TORRAS
NEURAL BAYESIAN CLASSIFIER 119
C.
JUTTEN AND P, COMON
CONSTRUCTIVE METHODS FOR A NEW CLASSIFIER BASED ON A
RADIAL-BASIS-FUNCTION
NEURAL NETWORK ACCELERATED BY A TREE 125
P. GENTRIC AND H.CA.M. WITHAGEN
PRACTICAL REALIZATION OF A RADIAL BASIS FUNCTION NETWORK FOR HANDWRITTEN
DIGIT RECOGNITION 131
B. LEMARID
DESIGN OF FULLY AND PARTIALLY CONNECTED RANDOM NEURAL NETWORKS FOR
PATTERN COMPLETION 137
C. HUBERT
REPRESENTATION AND RECOGNITION OF REGULAR GRAMMARS BY MEANS OF
SECOND-ORDER RECURRENT NEURAL NETWORKS 143
R. ALQUDZAR AND A. SANFELIU
CONNECTIONIST MODELS FOR SYLLABIC RECOGNITION IN THE TIME DOMAIN 149
J. SANTOS AND R.P. OTERO
SPARSELY INTERCONNECTED ARTIFICIAL NEURAL NETWORKS FOR ASSOCIATIVE
MEMORIES 155
D. LIU AND AM. MICHEL
DYNAMIC ANALYSIS OF NETWORKS OF NEURAL OSCILLATORS
A. ARENAS AND CJ. PDREZ VICENTE
161
XI
OPTIMISED ATTRACTOR NEURAL NETWORKS WITH EXTERNAL INPUTS 167
A.N. BURKIN
NON-ORTHOGONAL BASES AND METRIC TENSORS: AN APPLICATION TO ARTIFICIAL
NEURAL NETWORKS 173
K. WEIGL AND M. BERIHOD
GENETIC SYNTHESIS OF DISCRETE-TIME RECURRENT NEURAL NETWORK 179
FJ. MARIN AND F. SANDOVAL
OPTIMIZATION OF A COMPETITIVE LEARNING NEURAL NETWORK BY GENETIC
ALGORITHMS 185
JJ. MERELO, M. PATON, A. CABAS, A. PRIETO AND F. MORAN
ADAPTIVE MODELS IN NEURAL NETWORKS 193
P.A. LIGOMENIDES
3. LEARNING
SELF-ORGANIZING GRAMMAR INDUCTION USING A NEURAL NETWORK MODEL 198
C. MANNES
THE ROLE OF FORGETTING IN EFFICIENT LEARNING STRATEGIES FOR
SELF-ORGANISING
DISCRIMINATOR-BASED SYSTEMS 204
G. TAMBOURATZIS AND TJ. STONHAM
SIMULATION OF STOCHASTIC REGULAR GRAMMARS THROUGH SIMPLE RECURRENT
NETWORKS 210
MA. CASTANO, F. CASACUBERTA ANDE. VIDAL
LOCAL STOCHASTIC COMPETITION AND VECTOR QUANTIZATION 216
M. GRATIA, A. D'ANJOU, FX. ALBIZURI, FJ. TORREALDEA ANDM.C. HERNANDEZ
MHC - AN EVOLUTIVE CONNECTIONIST MODEL FOR HYBRID TRAINING 223
J. M. RAMIREZ
FAST-CONVERGENCE LEARNING ALGORITHMS FOR MULTI-LEVEL AND BINARY NEURONS
AND SOLUTION OF SOME IMAGE PROCESSING PROBLEMS 230
NJI. AIZENBERG AND
/JV. AIZENBERG
INVARIANT OBJECT RECOGNITION USING FAHLMAN AND LEBIERE'S LEARNING
ALGORITHM 237
K. ITO, M. HAMAMOTO, J. KAMRUZZAMAN AND Y. KUMAGAI
REALIZATION OF SURJECTIVE CORRESPONDENCE IN ARTIFICIAL NEURAL NETWORK
TRAINED
BY FAHLMAN AND LEBIERE'S LEARNING ALGORITHM 243
M. HAMAMOTO, K. ITO, J. KAMRUZZAMAN AND Y. KUMAGAI
XII
BIMODAL DISTRIBUTION REMOVAL 249
P. SLADE AND T.D. GEDEON
A SIMPLIFIED ARTMAP ARCHITECTURE FOR REAL-TIME LEARNING 255
A. GUAZZELLI, D. BARONE AND E.C. DE B. CARVALHO FILHO
B-LEAMING: A REINFORCEMENT LEARNING ALGORITHM, COMPARISON WITH
DYNAMIC PROGRAMMING 261
T. LANGLOIS AND S. CANU
INCREASED COMPLEXITY TRAINING 267
I. CLOETE AND J. LUDIK
OPTIMIZED LEARNING FOR IMPROVING THE EVOLUTION OF PIECEWISE LINEAR
SEPARATION INCREMENTAL ALGORITHMS 272
J. M. MORENO, F. CASTILLO AND J. CABESLANY
A METHOD OF PRUNING LAYERED FEED-FORWARD NEURAL NETWORKS 278
M. PELILLO AND A.M. FANELLI
TESTS OF DIFFERENT REGULARIZATION TERMS IN SMALL NETWORKS 284
J.L. CRESPO AND E. MORA
4. SELF ORGANIZING NETWORKS AND VECTOR QUANTIZER
ON THE DISTRIBUTION OF FEATURE SPACE IN SELF-ORGANISING MAPPING AND
CONVERGENCE ACCELERATING BY A KALMAN ALGOITHM 291
H. YIN AND N.M. ALLINSON
A LEARNING ALGORITHM TO OBTAIN SELF-ORGANIZING MAPS USING FIXED
NEIGHBOURHOOD KOHONEN NETWORKS 297
P. MARTIN-SMITH, F.J. PELAYO, A. DIAZ, J. ORTEGA, AND A. PRIETO
ANALYSING A CONTINGENCY TABLE WITH KOHONEN MAPS: A FACTORIAL
CORRESPONDENCE ANALYSIS 305
M. COTTRELL, P. LETREMY AND E. ROY
DYNAMICS OF SELF-ORGANIZED FEATURE MAPPING 312
R. DER AND T. VILLMANN
COMPARATIVE STUDY OF SELF-ORGANIZING NEURAL NETWORKS 316
C. -D. WANN AND S.CA. THOMOPOULOS
GANNET: A GENETIC ALGORITHM FOR OPTIMIZING TOPOLOGY AND WEIGHTS IN
NEURAL
NETWORK DESIGN 322
D. WHITE AND P. LIGOMENIDES
XIII
VECTOR QUANTIZATION AND PROJECTION NEURAL NETWORK 328
P. DEMARTINES AND J. HERAULT
CONSTRUCTIVE DESIGN OF LVQ AND DSM CLASSIFIERS 334
J.-C. PEREZ AND E. VIDAL
LINEAR VECTOR CLASSIFICATION: AN IMPROVEMENT ON LVQ ALGORITHMS TO CREATE
CLASSES OF PATTERNS 340
M. VERLEYSEN, P. THISSEN AND J.-D. LEGAL
NON-GREEDY ADAPTIVE VECTOR QUANTIZERS 346
Z.
WANG
5. NEURAL SOFTWARE
HYBRID PROGRAMMING ENVIRONMENTS (INVITED PAPER) 351
P.C. TRELEAVEN AND P.V. ROCHA
AUTOMATIC GENERATION OF C++ CODE FOR NEURAL NETWORK SIMULATION 358
S. DREISEITL AND D. WANG
URANO: AN OBJECT-ORIENTED ARTIFICIAL NEURAL NETWORK SIMULATION TOOL 364
L. FUENTES, J.F. ALDANA AND J.M. TROYA
REALISTIC SIMULATION TOOL FOR EARLY VISUAL PROCESSING INCLUDING SPACE,
TIME
AND COLOUR DATA 370
W. BEAUDOT, P. PALAGI AND J. HERAULT
LANGUAGE SUPPORTED STORAGE AND REUSE OF PERSISTENT NEURAL NETWORK
OBJECTS 376
C. BURDORF
FLEXIBLE OPERATING ENVIRONMENT FOR MATRIX BASED NEUROCOMPUTERS 382
J.C. TAYLOR, M.L. RECCE AND A.S. MANGAT
A PARALLEL IMPLEMENTATION OF KOHONEN'S SELF-ORGANIZING MAPS ON THE
SMART NEUROCOMPUTER 388
E. FILIPPI AND J.C. LAWSON
SIMULATION OF NEURAL NETWORKS IN A DISTRIBUTED COMPUTING ENVIRONMENT
USING NEUROGRAPH 394
P. WILKE
FULL AUTOMATIC ANN DESIGN: A GENETIC APPROACH
E. ALBA, J.F. ALDANA AND J.M. TROYA
399
XIV
6. HARDWARE IMPLEMENTATION
HARDWARE IMPLEMENTATIONS OF ARTIFICIAL NEURAL NETWORKS (INVITED PAPER)
405
D. DEL CORSO
A NEURAL NETWORK CHIP USING CPWM MODULATION 420
M. CHIABERGE, D. DEL CORSO, F. GREGORETTI AND L.M. REYNERI
HARDWARE IMPLEMENTATION OF A NEURAL NETWORK FOR HIGH ENERGY PHYSICS
APPLICATION 426
J. CARRABINA, F. LISA, V. GAITAN, L. GARRIDO AND E. VALDERRAMA
MAPA: AN ARRAY PROCESSOR ARCHITECTURE FOR NEURAL NETWORKS 432
J. ORTEGA, FJ. PELAYO, A. PRIETO, B. PINO AND C.G. PUNTONET
LIMITATION OF CONNECTIONISM IN MLP 441
C. V. REGUEIRO, S. BARRO AND A. YDNEZ
HIGH LEVEL SYNTHESIS OF NEURAL NETWORK CHIPS 448
M.E. NIGRI AND P.C. TRELEAVEN
NEURAL NETWORK SIMULATIONS ON MASSIVELY PARALLEL COMPUTERS: APPLICATIONS
IN CHEMICAL PHYSICS 454
B. G. SUMPTER, R.E. GUENTHER, C. HALLOY, C. GETINO AND D.W. NOID
A MODEL BASED APPROACH TO THE PERFORMANCE ANALYSIS OF MULTI-LAYER
NETWORKS REALISED IN LINEAR SYSTOLIC ARRAYS 459
D. NAYLOR AND S. JONES
THE TEMPORAL NOISY-LEAKY INTEGRATOR NEURON WITH ADDITIONAL INHIBITORY
INPUTS 465
C. CHRISTODOULOU, G. BUGMANN, T.G. CLARKSON AND J.G. TAYLOR
ARCHITECTURES FOR SELF-LEARNING NEURAL NETWORK MODULES 471
T.G. CLARKSON AND C.K. NG
THE GENERIC NEURON ARCHITECTURAL FRAMEWORK FOR THE AUTOMATIC GENERATION
OF ASICS 476
M.M.B.R. VELLASCO AND P.C. TRELEAVEN
A RISE ARCHITECTURE TO SUPPORT NEURAL NET SIMULATION 482
M. PACHECO AND P.C. TRELEAVEN
HARDWARE DESIGN FOR SELF-ORGANIZING FEATURE MAPS WITH BINARY INPUT
VECTORS 488
S. RAPING, U. RUCKERT AND K. GOSER
XV
7. APPLICATIONS
7.1. PATTERN RECOGNITION AND SIGNAL PROCESSING
THE KOLMOGOROV SIGNAL PROCESSOR (INVITED PAPER) 494
MA. LAGUNAS, A. PEREZ-NEIRA, M. NAJAR AND A. PAGFA
PROJECTIVITY INVARIANT PATTERN RECOGNITION WITH HIGH-ORDER NEURAL
NETWORKS 513
G. JOYA AND P. SANDOVAL
REJECTION OF INCORRECT ANSWERS FROM A NEURAL NET CLASSIFIER 519
F. J. SMIEJA
NONLINEAR TIME SCRIES MODELING BY COMPETITIVE SEGMENTATION OF STATE
SPACE 525
CJ. PANTALEDN-PRIETO AND AM. FIGUEIRAS-VIDAL
IDENTIFICATION AND PREDICTION OF NON-LINEAR MODELS WITH RECURRENT NEURAL
NETWORK 531
0. ADAM, J.-L. ZARADER AND M. MILGRAM
USE OF UNSUPERVISED NEURAL NETWORKS FOR CLASSIFICATION OF BLOOD PRESSURE
TIME SERIES 536
MJ. RODRIGUEZ, F. DEL POZO AND M.T. ARREDONDO
APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO CHEST IMAGE CLASSIFICATION
542
JJ. FERNANDEZ-RODRIGUEZ, A. CANAS, E. ROCA, FJ. PELAYO,
J. FERNANDEZ-MENA AND A. PRIETO
COMBINATION OF SELF-ORGANIZING MAPS AND MULTILAYER PERCEPTIONS FOR
SPEAKER INDEPENDENT ISOLATED WORD RECOGNITION 550
J. TUYA, E. ARIAS, L. SDNCHEZ ANDJA. CORRALES
AN INDUSTRIAL APPLICATION OF NEURAL NETWORKS TO NATURAL TEXTURES
CLASSIFICATION 556
G. YAHIAOUI ANDB. BOROCCO
USE OF A LAYERED NEURAL NETS AS A DISPLAY METHOD FOR N-DIMENSIONAL
DISTRIBUTIONS 563
L. GARRIDO, V. GAITAN, M. SERRA-RICART ANDX. CALBET
MLP MODULAR VERSUS YPREL CLASSIFIERS 569
Y. LECOURTIER, B. DORIZZI, P. SEBIRE AND A. ENNAJI
HOW MANY HIDDEN NEURONS ARE NEEDED TO RECOGNIZE A SYMMETRICAL PATTERN?
575
J. PATINEL, G. LEONE AND M. MILGRAM
XVI
7.2. COMMUNICATION
HOPFIELD NEURAL NETWORK FOR ROUTING 583
S. CAVALIERI, A. DI STEFANO AND 0. MIRABELLA
NEURAL NETWORK ROUTING CONTROLLER FOR COMMUNICATION PARALLEL MULTISTAGE
INTERCONNECTION NETWORKS 593
A. GARDA-LOPERA, A. DIAZ ESTRELLA, F. GARDA OILER AND F. SANDOVAL
ADAPTIVE ROUTING USING CELLULAR AUTOMATA 599
J. MINOT
OPTIMAL BLIND EQUALIZATION OF GAUSSIAN CHANNELS 605
J. CID-SUEIRO, L. WERUAGA AND AM. FIGUEIRAS-VIDAL
NOISE PREDICTION IN URBAN TRAFFIC BY A NEURAL APPROACH 611
G. CAMMARATA, S. CAVALIERI, A. FICHERA AND L. MARIETTA
7.3. ARTIFICIAL VISION
A CONNECTIONIST APPROACH TO THE CORRESPONDENCE PROBLEM IN COMPUTER
VISION 620
H. SAKO AND HJ. AVI-ITZHAK
SELF-ORGANIZING FEATURE MAPS FOR IMAGE SEGMENTATION 626
R. NATOWICZ AND R. SOKOL
RECOGNITION OF FRACTAL IMAGES USING A NEURAL NETWORK 632
B. FREISLEBEN, J.-H. GREVE AND J. LOBER
FEED FORWARD NETWORK FOR VEHICLE LICENSE CHARACTER RECOGNITION 638
F. LISA, J. CARRABINA, C. PDREZ-VICENTE, N. AVELLANA AND E. VALDERRAMA
INTERPRETATION OF OPTICAL FLOW THROUGH COMPLEX NEURAL NETWORK 645
M. MIYAUCHI, M. SEKI, A. WATANABE AND A. MIYAUCHI
CT IMAGE SEGMENTATION BY SELF-ORGANIZING LEARNING 651
D. CABELLO, M.G. PENEDO, S. BARRO, J.M. PARDO ANDJ. HERAS
TEXTURE IMAGE SEGMENTATION USING A MODIFIED HOPFIELD NETWORK 657
A. MOSQUERA, D. CABELLO, MJ. CARREIRA AND M.G. PENEDO
IMAGE COMPRESSION WITH SELF-ORGANIZING NETWORKS
B. FREISLEBEN AND M. MENGEL
664
XVII
7.4. CONTROL AND ROBOTIC
NEURAL NETWORKS AS DIRECT ADAPTIVE CONTROLLERS 670
M. BAHRAMI
A NEURAL ADAPTIVE CONTROLLER FOR A TURBOFAN EXHAUST NOZZLE 676
C. BARRET, M. HOUKARI, P. MEYNE, J.M. MARTINEZ, A. GARASSINO AND P.
TORMO
FEED-FORWARD NEURAL NETWORKS FOR BIOREACTOR CONTROL 682
A. BULSARI, B. SAXEN AND H. SAXEN
LEARNING NETWORKS FOR PROCESS IDENTIFICATION AND ASSOCIATIVE ACTION 688
L. BORLAND AND H. HAKEN
ON-LINE PERFORMANCE ENHANCEMENT OF A BEHAVIORAL NEURAL NETWORK
CONTROLLER 694
JJI. PIMENTEL, D. GACHET, L. MORENO AND MA. SALICHS
AN ARCHITECTURE FOR IMPLEMENTING CONTROL AND SIGNAL PROCESSING NEURAL
NETWORKS 702
R. P. PALMER AND PA. ROUNCE
PLANLITE: ADAPTIVE PLANNING USING WEIGHTLESS SYSTEMS 708
J. MRSIC-FLOGEL
7.5. OTHER APPLICATIONS
STOCK PRICES AND VOLUME IN AN ARTIFICIAL ADAPTIVE STOCK MARKET 714
S. MARGARITA AND A. BELTRATTI
APPLICATION OF THE FUZZY ARTMAP NEURAL NETWORK ARCHITECTURE TO BANK
FAILURE PREDICTIONS 720
LJ. DE MIGUEL, E. REVILLA, J.M. RODRIGUEZ AND J.M. CANO
COMBINATION OF NEURAL NETWORK AND STATISTICAL METHODS FOR SENSORY
EVALUATION OF BIOLOGICAL PRODUCTS: ON-LINE BEAUTY SELECTION OF FLOWERS
726
F. ROS, A. BRONS, F. SEVILA, G. RABATEL AND C. TOUZEL
AN ADAPTIVE INFORMATION RETRIEVAL SYSTEM BASED ON NEURAL NETWORKS 732
F. CRESTANI
SOFTWARE PATTERN EEG RECOGNITION AFTER A WAVELET TRANSFORM BY A NEURAL
NETWORK 738
P. CLOCHON, D. CLARENCON, R. CATERINI AND V. ROMAN
AUTHORS INDEX
744 |
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| callnumber-raw | QA76.87.I588 1993 |
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| callnumber-sort | QA 276.87 I588 41993 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | ST 130 |
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| ctrlnum | (OCoLC)263916647 (DE-599)BVBBV008194732 |
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| dewey-search | 006.3 20 |
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| discipline | Informatik |
| format | Conference Proceeding Book |
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| genre_facet | Aufsatzsammlung Konferenzschrift 1993 Sitges |
| id | DE-604.BV008194732 |
| illustrated | Illustrated |
| indexdate | 2025-01-10T13:18:11Z |
| institution | BVB |
| institution_GND | (DE-588)5085330-2 |
| isbn | 3540567984 0387567984 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-005407058 |
| oclc_num | 263916647 |
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| owner | DE-739 DE-355 DE-BY-UBR DE-384 DE-91G DE-BY-TUM DE-20 DE-19 DE-BY-UBM DE-706 DE-634 DE-83 DE-11 DE-188 |
| owner_facet | DE-739 DE-355 DE-BY-UBR DE-384 DE-91G DE-BY-TUM DE-20 DE-19 DE-BY-UBM DE-706 DE-634 DE-83 DE-11 DE-188 |
| physical | XVII, 746 S. graph. Darst. |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| publisher | Springer |
| record_format | marc |
| series | Lecture notes in computer science |
| series2 | Lecture notes in computer science |
| spelling | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings J. Mira ... (eds.) Berlin u.a. Springer 1993 XVII, 746 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 686 Neural networks (Computer science) -- Congresses Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf (DE-588)4143413-4 Aufsatzsammlung gnd-content (DE-588)1071861417 Konferenzschrift 1993 Sitges gnd-content Neuronales Netz (DE-588)4226127-2 s Künstliche Intelligenz (DE-588)4033447-8 s DE-604 Mira, José Sonstige oth IWANN 2 1993 Sitges Sonstige (DE-588)5085330-2 oth Lecture notes in computer science 686 (DE-604)BV000000607 686 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005407058&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings Lecture notes in computer science Neural networks (Computer science) -- Congresses Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4226127-2 (DE-588)4143413-4 (DE-588)1071861417 |
| title | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings |
| title_auth | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings |
| title_exact_search | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings |
| title_full | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings J. Mira ... (eds.) |
| title_fullStr | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings J. Mira ... (eds.) |
| title_full_unstemmed | New trends in neural computation International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings J. Mira ... (eds.) |
| title_short | New trends in neural computation |
| title_sort | new trends in neural computation international workshop on artificial neural networks iwann 93 sitges spain june 9 11 1993 proceedings |
| title_sub | International Workshop on Artificial Neural Networks, IWANN '93, Sitges, Spain, June 9 - 11, 1993 ; proceedings |
| topic | Neural networks (Computer science) -- Congresses Künstliche Intelligenz (DE-588)4033447-8 gnd Neuronales Netz (DE-588)4226127-2 gnd |
| topic_facet | Neural networks (Computer science) -- Congresses Künstliche Intelligenz Neuronales Netz Aufsatzsammlung Konferenzschrift 1993 Sitges |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=005407058&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV000000607 |
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