Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 1 Parts 1 and 2
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| 245 | 1 | 0 | |a Proceedings of the International Conference on Artificial Neural Networks |b Sorrento, Italy, 26 - 29 May 1994 |n 1 |p Parts 1 and 2 |c ed. by Maria Marinaro ... ICANN '94 |
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Datensatz im Suchindex
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| adam_text | ICANN 94 PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ARTIFICIAL
NEURAL NETWORKS SORRENTO, ITALY 26-29 MAY 1994 VOLUME 1, PARTS 1 AND 2
EDITED BY MARIA MARINARO AND PIETRO G. MORASSO SPRINGER-VERLAG LONDON
BERLIN HEIDELBERG NEW YORK PARIS TOKYO HONG KONG BARCELONA BUDAPEST
UB/TIB HANNOVER 111 772 737 CONTENTS, VOLUME 1 PART 1 * NEUROBIOLOGY WHY
BRIGHT KANIZSA SQUARES LOOK CLOSER: CONSISTENCY OF SEGMENTATIONS AND
SURFACES IN 3-D VISION. S. GROSSBERG 3 SPATIAL POOLING AND PERCEPTUAL
FRAMING BY SYNCHRONIZING CORTICAL DYNAMICS. S. GROSSBERG, A. GRUNEWALD
10 VERTEBRATE RETINA: SUB-SAMPLING AND ALIASING EFFECTS CAN EXPLAIN
COLOUR-OPPONENT AND COLOUR CONSTANCY PHENOMENA. J.HERAULT 16 RETINA: A
MODEL OF VISUAL INFORMATION PROCESSING IN THE RETINAL NEURAL NETWORK. A.
FAURE, I. RYBAK, A. GOLOVAN, O. CACHARD, N.A. SHEVTSOVA, L.N.
PODLADCHIKOVA 22 THE INFLUENCE OF THE INHOMOGENEOUS DENDRITIC FIELD SIZE
OF THE RETINAL GANGLION CELLS ON THE FIXATION. T. YAGI, K. GOUHARA, Y.
UCHIKAWA 2 6 TOP-DOWN INTERFERENCE IN VISUAL PERCEPTION. C.
TADDEI-FERRETTI, C. MUSIO, R.F. COLUCCI 30 DYNAMIC VISION SYSTEM:
MODELING THE PREY RECOGNITION OF COMMON TOADS BUFO BUFO. E. STOLTE, E.
LITTMANN, H. RITTER 34 EMERGENCE OF LONG RANGE ORDER IN MAPS OF
ORIENTATION PREFERENCE. F. WOLF, K. PAWELZIK, T. GEISEL 38 ORIENTED
OCULAR DOMINANCE BANDS IN THE SELF-ORGANIZING FEATURE MAP. H.-U. BAUER
42 HOW TO USE NON-VISUAL INFORMATION FOR OPTIC FLOW PROCESSING IN MONKEY
VISUAL CORTICAL AREA MSTD. M. LAPPE, F. BRENTMER, K.-P. HOFFMANN 46 A
LEARNING RULE FOR SELF-ORGANIZATION OF THE VELOCITY SELECTIVITY OF
DIRECTIONALLY SELECTIVE CELLS. K. MIURA, K. KURATA, T. NAGANO 50 MOTION
ANALYSIS WITH RECURRENT NEURAL NETS. A. PSARROU,H. BUXTON 54 VI CONTENTS
SELF-ORGANIZING A BEHAVIOUR-ORIENTED INTERPRETATION OF OBJECTS IN
ACTIVE-VISION. HOEHME, D. HEINKE, T. POMIERSKI, R. MOELLER 58 HYBRID
METHODS FOR ROBUST IRRADIANCE ANALYSIS AND 3-D SHAPE RECONSTRUCTION FROM
IMAGES. F. CALLARI, U. MANISCAKO, P. STORNIOLO 62 A PARALLEL ALGORITHM
FOR SIMULATING COLOR PERCEPTION. L. TAO, Y. CHEN, G. YAO 66 POSITIONAL
COMPETITION IN THE BCS. L. WIESKE 70 A COMPUTATIONAL MODEL FOR
TEXTON-BASED PREATTENTIVE TEXTURE SEGMENTATION. M.N.SHIRAZI, M. HIDA, Y.
NISHIKAWA .?. 74 HOPFIELD NEURAL NETWORK FOR MOTION ESTIMATION AND
INTERPRETATION. G. CONVERTINO, M. BRATTOLI, A. DISTANTE 78 PHASE
INTERACTIONS BETWEEN PLACE CELLS DURING MOVEMENT. J.G. TAYLOR, L.P.
MICHALIS 82 SELF-ORGANIZATION OF AN EQUILIBRIUM-POINT MOTOR CONTROLLER.
V. SANGUINETI, P. MORASSO 86 STUDY OF A PURKINJE UNIT AS A BASIC
OSCILLATOR OF THE CEREBELLAR CORTEX. P. CHAUVET, G.A. CHAUVET 90
COMPARTMENTAL INTERACTION IN THE GRANULAR LAYER OF THE CEREBELLUM.
L.N.KALIA 94 MODELING BIOLOGICALLY RELEVANT TEMPORAL PATTERNS. W.
ZANDER, B. BRUECKNER, T. BEHNISCH, T. WESARG 98 A MODEL OF THE
BARORECEPTOR REFLEX NEURAL NETWORK. J.S. SCHWABER, LA. RYBAK, R.F.
ROGERS 102 MODELIZATION OF VESTIBULO-OCULAR REFLEX (VOR) AND MOTION
SICKNESS PREDICTION. L. ZUPAN,J. DROULEZ, C. DARLOT, P. DENISE, A.
MARUANI 106 KERNEL CORRELATIONS OF MOVEMENTS IN NEURAL NETWORK. N.ISHII
110 ANALYSIS OF THE GOLF SWING FROM WEIGHT-SHIFT USING NEURAL NETWORKS.
H.S. YOON, C.S. BAE, B.W. MIN 114 DRY ELECTROPHYSIOLOGY: AN APPROACH TO
THE INTERNAL REPRESENTATION OF BRAIN FUNCTIONS THROUGH ARTIFICIAL NEURAL
NETWORKS. S. USUI, S. NAKAUCHI 118 ANNS AND MAMFS: TRANSPARENCY OR
OPACITY? L.W. STARK 123 , CONTENTS VII COLLECTIVE BRAIN AS DYNAMICAL
SYSTEM. M.ZAK 130 TEMPORAL PATTERN DEPENDENT SPATIAL-DISTRIBUTION OF LTP
IN THE HIPPOCAMPAL CA1 AREA STUDIED BY AN OPTICAL IMAGING METHOD. M.
TSUKADA, T. AIHARA, M. MIZUNO 134 SYNCHRONIZATION-BASED COMPLEX MODEL
NEURONS. G. HARTMANN, S. DRUE 138 SYNCHRONIZATION OF INTEGRATE-AND-FIRE
NEURONS WITH DELAYED INHIBITORY LATERAL CONNECTIONS. L.S. SMITH, D.E.
CAIRNS, A. NISCHWITZ 142 COMPLEX PATTERNS OF OSCILLATIONS IN A NEURAL
NETWORK MODEL WITH ACTIVITY-DEPENDENT OUTGROWTH. A. VAN OOYEN, J. VAN
PELT 146 LEARNING AND THE THALAMIC-NRT-CORTEX SYSTEM. J.G. TAYLOR, F N.
ALAVI 150 RESETTING THE PERIODIC ACTIVITY OF HYDRA AT A FIXED PHASE. C.
TADDEI-FERRETTI, C. MUSIO, S. CHILLEMI 154 INTEGRAL EQUATIONS IN
COMPARTMENTAL MODEL NEURODYNAMICS. P.C. BRESSLOFF 158 HYSTERESIS IN A
TWO NEURON-NETWORK: BASIC CHARACTERISTICS AND PHYSIOLOGICAL
IMPLICATIONS. K. PAKDAMAN, A. VAN OOYEN, A.R. HOUWELING, J.-F. VIBERT
162 COOPERATION WITHIN NETWORKS OF CORTICAL AUTOMATA BASED NETWORKS. L.
BOUTKHIL, F. JOUBLIN, S. WACQUANT 166 ANISOTROPIC CORRELATION PROPERTIES
IN THE SPATIAL STRUCTURE OF CORTICAL ORIENTATION MAPS. S.P. SABATINI, R.
RAFFO, G.M. BISIO 170 PART 2 * MATHEMATICAL MODEL APPLICATION OF NEURAL
NETWORK AND FUZZY LOGIC IN MODELLING AND CONTROL OF FERMENTATION
PROCESSES. N.A. JALEL, B. ZHANG, J.R. LEIGH 177 NEURAL NETWORKS FOR THE
PROCESSING OF FUZZY SETS. G.BORTOLAN 181 HUMAN SIGN RECOGNITION USING
FUZZY ASSOCIATIVE INFERENCE SYSTEM. T. YAMAGUCHI, T. SATO, H. USHIDA, A.
IMURA 185 BAYESIAN PROPERTIES AND PERFORMANCES OF ADAPTIVE FUZZY SYSTEMS
IN PATTERN RECOGNITION PROBLEMS. F. MASULLI, F. CASALINO, F. VANNUCCI
189 VIII CONTENTS THE REPRESENTATION OF HUMAN JUDGEMENT BY USING FUZZY
TECHNIQUES. A. CANNAVACCIUOLO, G. CAPALDO, A. VENTRE, A. VOLPE, G. ZOLLO
193 FUZZY LOGIC VERSUS NEURAL NETWORK TECHNIQUE IN AN IDENTIFICATION
PROBLEM. G. CAMMARATA, S. CAVALIERI, A. FICHERA 197 PHONEME RECOGNITION
WITH HIERARCHICAL SELF ORGANISED NEURAL NETWORKS AND FUZZY SYSTEMS - A
CASE STUDY. N. KASABOV, E. PEEV 201 NEURONAL NETWORK MODELS OF THE MIND.
/. G. TAYLOR 205 THE CONSCIOUSNESS OF A NEURAL STATE MACHINE. I.
ALEKSANDER 212 FORWARD REASONING AND CAIANIELLO S NETS. . BURATTINI, G.
TAMBURRINI 218 AN ANN MODEL OF ANAPHORA: IMPLICATIONS FOR NATIVISM.
S.H.PARFITT 222 THE SPATTER CODE FOR ENCODING CONCEPTS AT MANY LEVELS.
P. KANERVA 226 LEARNING IN HYBRID NEURAL MODELS. A.M. COLLA, N. LONGO,
G. MORGAVI, S. RIDELLA 230 A CONNECTIONIST MODEL FOR CONTEXT EFFECTS IN
THE PICTURE-WORD INTERFERENCE TASK. P. A. STARREVELD, J. N. H. HEEMSKERK
234 INDUCTIVE INFERENCE WITH RECURRENT RADIAL BASIS FUNCTION NETWORKS.
M. GORI, M. MAGGINI, G. SODA 238 NEURAL NETWORKS AS A PARADIGM FOR
KNOWLEDGE ELICITATION. G.P. FLETCHER, C. J. HINDE, A.A. WEST, D.J.
WILLIAMS 24 2 UNSUPERVISED DETECTION OF DRIVING STATES WITH HIERARCHICAL
SELF ORGANIZING MAPS. P. WEIERICH, M. VON ROSENBERG 246 USING SIMULATED
ANNEALING TO TRAIN RELAXATION LABELING PROCESSES. M. PELILLO, A.
MAFFIONE 250 A NEURAL MODEL FOR THE EXECUTION OF SYMBOLIC MOTOR
PROGRAMS. CM. PRIVITERA, P. MORASSO 254 EVOLUTION OF TYPED EXPRESSIONS
DESCRIBING ARTIFICIAL NERVOUS SYSTEMS. C.JACOB 258 BAR: A CONNECTIONIST
MODEL OF BILINGUAL ACCESS REPRESENTATIONS. O. SOLER, R. VAN HOE 263
CONTENTS IX AN ARCHITECTURE FOR IMAGE UNDERSTANDING BY SYMBOL AND
PATTERN INTEGRATION. M. NISHI, K. OHZEKI, N. SAKURAI, T. OMORI 268
ENCODING CONCEPTUAL GRAPHS BY LABELING RAAM. M. DE GERLACHE, A.
SPERDUTI, A. STARITA 272 HYBRID SYSTEM FOR SHIP DETECTION IN RADAR
IMAGES. G. FIORENTINI, G. PASQUARIELLO, G. SATALINO, F. SPILOTROS 276
USING ART2 AND BP CO-OPERATIVELY TO CLASSIFY MUSICAL SEQUENCES. N.
J.L.GRIFFITH .C. 280 FORECASTING USING CONSTRAINED NEURAL NETWORKS. R.
KANE, M. MILGRAM 284 THE EVALUATIONS OF ENVIRONMENTAL IMPACT:
COOPERATIVE SYSTEMS. A. PAZOS, A. SANTOS DEL RIEGO, J. DORADO 288 WHAT
GENERALIZATIONS OF THE SELF-ORGANIZING MAP MAKE SENSE? T. KOHONEN 292 A
NOVEL APPROACH TO MEASURE THE TOPOLOGY PRESERVATION OF FEATURE MAPS. TH.
VILLMANN, R. DER, TH. MARTINEZ 298 SELF-ORGANIZED LEARNING OF 3
DIMENSIONS. CS. SZEPESVARI, A. LOERINCZ 302 A MODEL OF FAST AND
REVERSIBLE REPRESENTATIONAL PLASTICITY USING KOHONEN MAPPING. M. ANDRES,
O. SCHLILTER, F. SPENGLER, H.R. DINSE 306 MULTIPLE SELF-ORGANIZING
NEURAL NETWORKS WITH THE REDUCED INPUT DIMENSION. /. KIM, J. AHN, CS.
KIM, H. HWANG, S. CHO 310 ADAPTIVE MODULATION OF RECEPTIVE FIELDS IN
SELF-ORGANIZING NETWORKS. F. FIRENZE, P. MORASSO 314 ABOUT THE
CONVERGENCE OF THE GENERALIZED KOHONEN ALGORITHM. J.C. FORT, G. PAGES
318 REORDERING TRANSITIONS IN SELF-ORGANIZED FEATURE MAPS WITH
SHORT-RANGE NEIGHBOURHOOD. R. DER, M. HERRMANN 322 SPEEDING-UP
SELF-ORGANIZING MAPS: THE QUICK REACTION. /. MONNERJAHN 326 DYNAMIC
EXTENSIONS OF SELF-ORGANIZING MAPS. /. GOPPERT, W. ROSENSTIEL 330
FEATURE SELECTION WITH SELF-ORGANIZING FEATURE MAP. /. LIVARINEN, K.
VALKEALAHTI, A. VISA, O. SIMULA 334 UNIFICATION OF COMPLEMENTARY FEATURE
MAP MODELS. O. SCHERF, K. PAWELZIK, F.WOLF, T. GEISEL 338 X CONTENTS
CONSIDERATIONS OF GEOMETRICAL AND FRACTAL DIMENSION OF SOM TO GET BETTER
LEARNING RESULTS. H. SPECKMANN, G. RADDATZ, W. ROSENSTIEL 342 ON THE
ORDERING CONDITIONS FOR SELF-ORGANISING MAPS. M. BUDINICH, J.G. TAYLOR
346 REPRESENTATION AND IDENTIFICATION OF FAULT CONDITIONS OF AN
ANAESTHESIA SYSTEM BY MEANS OF THE SELF-ORGANIZING MAP. M. VAPOLA, O.
SIMULA, T. KOHONEN, P. MERILAINEN 350 SENSOR ARRAYS AND SELF-ORGANIZING
MAPS FOR ODOUR ANALYSIS IN ARTIFICIAL OLFACTORY SYSTEMS. F. DAVIDE, C.
DI NATALE, A. DAMICO 354 A SELF-ORGANISING NEURAL NETWORK FOR THE
TRAVELLING SALESMAN PROBLEM THAT IS COMPETITIVE WITH SIMULATED
ANNEALING. M. BUDINICH 358 LEARNING ATTRACTORS AS A STOCHASTIC PROCESS
D.J.AMIT 362 NOMINAL COLOR CODING OF CLASSIFIED IMAGES BY HOPFIELD
NETWORKS. P. CAMPADELLI, P.MORA , R. SCHETTINI 373 DOES TERMINAL
ATTRACTOR BACKPROPAGATION GUARANTEE GLOBAL OPTIMIZATION? M. BIANCHINI,
M. GORI, M. MAGGINI 37 7 LEARNING AND RETRIEVAL IN ATTRACTOR NEURAL
NETWORKS WITH NOISE ABOVE SATURATION. R. ERICHSEN JR., W.R. THEUMANN 381
A METHOD OF TEACHING A NEURAL NETWORK TO GENERATE VECTOR FIELDS FOR A
GIVEN ATTRACTOR. N.H.-R. GOERKE, R. ECKMILLER 385 RECURRENT NEURAL
NETWORKS WITH DELAYS. /. GUIGNOT, P. GALLINARI 389 EMAN: EQUIVALENT MASS
ATTRACTION NETWORK M. H. ERDEM, G. BASKOMURCU, Y. OZTURK 393 ANALYSIS OF
AN UNSUPERVISED INDIRECT FEEDBACK NETWORK. M.D.PLUMBLEY 397 HOPFIELD
ENERGY OF RANDOM NETS. . GELENBE 401 MULTIPLE CUEING OF AN ASSOCIATIVE
NET. M. BUDINICH, B. GRAHAM, D. WILLSHAW 405 PROGRAMMABLE MIXED
IMPLEMENTATION OF THE BOLTZMANN MACHINE. V. LAFARGUE, E. BELHAIRE, H.
PUJOL, I. BERECHET, P. GARDA 409 THE INFLUENCE OF RESPONSE FUNCTIONS IN
ANALOGUE ATTRACTOR NEURAL NETWORKS. N. BRUNEI, R. ZECCHINA 413 CONTENTS
XI IMPROVEMENT OF LEARNING IN RECURRENT NETWORKS BY SUBSTITUTING THE
SIGMOID ACTIVATION FUNCTION. J.M. SOPENA, R. ALQUEZAR 417 ATTRACTOR
PROPERTIES OF RECURRENT NETWORKS WITH GENERALISING BOOLEAN NODES. A. DE
PADUA BRAGA 421 ON A CLASS OF HOPFIELD TYPE NEURAL NETWORKS FOR
ASSOCIATIVE MEMORY. B. BELICZYNSKI 425 STORAGE CAPACITY OF ASSOCIATIVE
RANDOM NEURAL NETWORKS. C.HUBERT 429 A GENERALIZED BIDIRECTIONAL
ASSOCIATIVE MEMORY WITH A HIDDEN ORTHOGONAL LAYER. F. IBARRA-PICO, J.M.
GARCIA-CHAMIZO 433 FINDING CORRESPONDENCES BETWEEN SMOOTHLY DEFORMABLE
CONTOURS BY MEANS OF AN ELASTIC NEURAL NETWORK. F. LABONTE, P. COHEN 437
MINIMIZATION OF NUMBER OF CONNECTIONS IN FEEDBACK NETWORKS. V. TERESHKO
441 AN EFFICIENT METHOD OF PATTERN STORAGE IN THE HOPFIELD NET. S.
COOMBES, J.G. TAYLOR 443 RECURSIVE LEARNING IN RECURRENT NEURAL NETWORKS
WITH VARYING ARCHITECTURE. D. OBRADOVIC 447 PRUNING IN RECURRENT NEURAL
NETWORKS. G. CASTELLANO, A.M. FANELLI, M. PELILLO 451 MAKING HARD
PROBLEMS LINEARLY SEPARABLE - INCREMENTAL RADIAL BASIS FUNCTION
APPROACHES. B.FRITZKE 455 PARTITION OF UNITY RBF NETWORKS ARE
UNIVERSAL FUNCTION APPROXIMATORS. /. HAKALA, C. KOSLOWSKI, R. ECKMILLER
459 OPTIMAL LOCAL ESTIMATION OF RBF PARAMETERS. S. MARCHINI, N.A.
BORGHESE 463 ACCELERATION OF GAUSSIAN RADIAL BASIS FUNCTION NETWORKS FOR
FUNCTION-APPROXIMATION. /. HAKALA, J. PUZICHA, R. ECKMILLER 467
UNIQUENESS OF FUNCTIONAL REPRESENTATIONS BY GAUSSIAN BASIS FUNCTION
NETWORKS. V. KURKOVD, R. NERUDA 471 A DYNAMIC MIXTURE OF GAUSSIANS
NEURAL NETWORK FOR SEQUENCE CLASSIFICATION. M. CECCARELLI, J.T. HOUNSOU
475 XII CONTENTS HIERARCHICAL MIXTURES OF EXPERTS AND THE EM ALGORITHM.
M.I. JORDAN, R.A. JACOBS 479 OUTLINE OF A LINEAR NEURAL NETWORK AND
APPLICATIONS. E.R. CAIANIELLO, M. MARINARO, S. RAMPONE, R. TAGLIAFERRI
487 NUMERICAL EXPERIMENTS ON THE INFORMATION CRITERIA FOR LAYERED
FEEDFORWARD NEURAL NETS. L K. HAGIWARA, S. USUI 493 QUANTIFYING A
CRITICAL TRAINING SET SIZE FOR GENERALIZATION AND OVERFITTING USING
TEACHER NEURAL NETWORKS. R. LANGE, R. MANNER 497 FORMAL REPRESENTATION
OF NEURAL NETWORKS. R. FREUND, F. TAFILL 501 TRAINING-DEPENDENT
MEASUREMENT. Z.YANG 505 GENETIC ALGORITHMS AS OPTIMISERS FOR FEEDFORWARD
NEURAL NETWORKS. L. VERMEERSCH, F. DUMORTIER, G. VANSTEENKISTE 509
SELECTING A CRITICAL SUBSET OF GIVEN EXAMPLES DURING LEARNING. B.T.ZHANG
517 ON THE CIRCUIT COMPLEXITY OF FEEDFORWARD NEURAL NETWORKS. V. BEIU,
J.A. PEPERSTRAETE, J. VANDEWALLE, R. LAUWEREINS 521 AVOIDING LOCAL
MINIMA BY A CLASSICAL RANGE EXPANSION ALGORITHM. D. GORSE, A. SHEPHERD,
J.G. TAYLOR 525 LEARNING TIME SERIES BY NEURAL NETWORKS. D.W. ALLEN,
J.G. TAYLOR 529 THE ERROR ABSORPTION FOR FITTING AN UNDER-FITTING
(SKELETON) NET. Z. YANG 533 FAST BACKPROPAGATION USING MODIFIED
SIGMOIDAL FUNCTIONS. F.C.MORABITO 537 INPUT CONTRIBUTION ANALYSIS IN A
DOUBLE INPUT LAYERED NEURAL NETWORK. Z. SHEN, M. CLARKE, R.W. JONES 541
A UNIFIED APPROACH TO DERIVE GRADIENT ALGORITHMS FOR ARBITRARY NEURAL
NETWORK STRUCTURES. F. BEAUFAYS, E. A. WAN 545 INTERPRETATION OF
BP-TRAINED NET OUTPUTS. S. GOMEZ, L. GARRIDO 549 FLUCTUATED-THRESHOLD
EFFECT IN MULTILAYERED NEURAL NETWORK. K. IWAMI, N. MATSUI, T. ARAKI 553
ON THE PROPERTIES OF ERROR FUNCTIONS THAT AFFECT THE SPEED OF
BACKPROPAGATION LEARNING. R.J. GAYNIER, T. DOWNS 55 7 CONTENTS XIII
NEURAL NETWORK OPTIMIZATION FOR GOOD GENERALIZATION PERFORMANCE. J.
ZHAO,J. SHAWE-TAYLOR 561 BLOCK-RECURSIVE LEAST SQUARES TECHNIQUE FOR
TRAINING MULTILAYER PERCEPTRONS. R. PARISI, E.D. DI CLAUDIO, G. ORLANDI
565 NEURAL NETWORKS FOR ITERATIVE COMPUTATION OF INVERSE FUNCTIONS. S.
ANOULOVA 569 CASCADE CORRELATION CONVERGENCE THEOREM. G.P. DRAGO, S.
RIDELLA 573 OPTIMAL WEIGHT INITIALIZATION FOR NEURAL NETWORKS. R.ROJAS
577 NEURAL NETS WITH SUPERLINEAR VC-DIMENSION. W.MAASS 581 A RANDOMISED
DISTRIBUTED PRIMER FOR THE UPDATING CONTROL ON ANONYMOUS ANNS. A.
CALABRESE, F.M.G. FRANCA 585 CATASTROPHIC INTERFERENCE IN LEARNING
PROCESSES BY NEURAL NETWORKS. E. PESSA, M. P. PENNA 589 SYSTEMATICITY IN
IH-ANALYSIS. D.LUNDH 593 INTEGRATING DISTANCE MEASURE AND INNER PRODUCT
NEURONS. F. MANA, D. ALBESANO, R. GEMELLO 597 TEACHING BY SHOWING IN
KENDAMA BASED ON OPTIMIZATION PRINCIPLE. M. KAWATO, F. GANDOLFO, H.
GOMI, Y. WADA 60 1 FROM COARSE TO FINE: A NOVEL WAY TO TRAIN NEURAL
NETWORKS. L.-Q. XU, T. HALL 607 LEARNING THE ACTIVATION FUNCTION FOR THE
NEURONS IN NEURAL NETWORKS. G.P. FLETCHER, C J. HINDE 611 PROJECTION
LEARNING AND GRACEFUL DEGRADATION. K. WEIGL, M. BERTHOD 615 LEARNING
WITH ZERO ERROR IN FEEDFORWARD NEURAL NETWORKS. M.L. LO CASCIO, G.
PESAMOSCA 619 ROBUSTNESS OF HEBBIAN AND ANTI-HEBBIAN LEARNING. T. FOMIN,
A. LOERINCZ 623 COMPUTATIONAL EXPERIENCES OF NEW DIRECT METHODS FOR THE
ON-LINE TRAINING OF MLP-NETWORKS WITH BINARY OUTPUTS. M. DI MARTINO, S.
FANELLI, M. PROTASI 627 XIV CONTENTS OPTIMISING LOCAL HEBBIAN LEARNING:
USE THE 8-RULE. J.W.M. VAN DAM, B.J.A. KROSE, F.C A. GROEN, 631
EFFICIENT NEURAL NET OC-P-EVALUATORS. A.P. HEINZ 635 A PARALLEL
ALGORITHM FOR A DYNAMIC ETA/ALPHA ESTIMATION IN BACKPROPAGATION
LEARNING. M. RAUS, W. AMELING 639 DYNAMIC PATTERN SELECTION: EFFECTIVELY
TRAINING BACKPROPAGATION NEURAL NETWORKS. A. ROBEL 643 A LEARNING RULE
WHICH IMPLICITLY STORES TRAINING HISTORY IN WEIGHTS. F. PEPER, H. NODA
647 A COMPARISON STUDY OF UNBOUNDED AND REAL-VALUED REINFORCEMENT
ASSOCIATIVE REWARD-PENALTY ALGORITHMS. R. NEVILLE, T.J. STONHAM 651 TO
SWING UP AN INVERTED PENDULUM USING STOCHASTIC REAL-VALUED REINFORCEMENT
LEARNING. A. STANDFUSS, R. ECKMILLER 655 EFFICIENT REINFORCEMENT
LEARNING STRATEGIES FOR THE POLE BALANCING PROBLEM. D. KONTORAVDIS, A.
LIKAS, A. STAFYLOPATIS 659 REINFORCEMENT LEARNING IN KOHONEN FEATURE
MAPS. N.R.BALL 663 CMAC MANIPULATOR CONTROL USING A REINFORCEMENT
LEARNED TRAJECTORY PLANNER. D.P.W. GRAHAM, G.M.T. D ELEUTERIO 667 A FAST
REINFORCEMENT LEARNING PARADIGM WITH APPLICATION TO CMAC CONTROL
SYSTEMS. D.P.W. GRAHAM, G.M.T. D ELEUTERIO 671 INFORMATION GEOMETRY AND
THE EM ALGORITHM. S. AMARI 675 SSM: A STATISTICAL STEPWISE METHOD FOR
WEIGHT ELIMINATION. M. COTTRELL, B. GIRARD, Y. GIRARD, M. MANGEAS, C,
MULLER 681 COMPUTING THE PROBABILITY DENSITY IN CONNECTIONIST
REGRESSION. A.N. SRIVASTAVA,A.S. WEIGEND 685 ESTIMATION OF CONDITIONAL
DENSITIES: A COMPARISON OF NEURAL NETWORK APPROACHES. R. NEUNEIER, F.
HERGERT, W. FINNOFF, D. ORMONEIT 689 REGULARIZING STOCHASTIC POTT NEURAL
NETWORKS BY PENALIZING MUTUAL INFORMATION. G. DECO, T. MARTINETZ 693
CONTENTS XV LEAST MEAN SQUARES LEARNING ALGORITHM IN SELF REFERENTIAL
LINEAR STOCHASTIC MODELS. . BARUCCI, L. LANDI 697 AN APPROXIMATION
NETWORK WITH MAXIMAL TRANSINFORMATION. R.W. BRAUSE 701 EXTENDED
FUNCTIONALITY FOR PROBABILISTIC RAM NEURONS. D. GORSE, J.G. TAYLOR, T.G.
CLARKSON 705 STATISTICAL BIASES IN BACKPROPAGATION LEARNING. C. THORNTON
709 AN APPROXIMATION OF NONLINEAR CANONICAL CORRELATION ANALYSIS BY
MULTILAYER PERCEPTRONS. H. ASOH, O. TAKECHI 713 INFORMATION MINIMIZATION
TO IMPROVE GENERALIZATION PERFORMANCE. R. KAMIMURA, S. NAKANISHI 717
LEARNING AND INTERPRETATION OF WEIGHTS IN NEURAL NETWORKS. C.C.A.M.
GIELEN 721 VARIABLE SELECTION WITH OPTIMAL CELL DAMAGE. T. CIBAS,
F.FOGELMAN SOULIE, P. GALLINARI, S. RAUDYS 727 COMPARISON OF
CONSTRUCTIVE ALGORITHMS FOR NEURAL NETWORKS. F.M. FRATTALE MASCIOLI, G.
MARTINELLI, G. LAZZARO 731 TASK DECOMPOSITION AND CORRELATIONS IN
GROWING ARTIFICIAL NEURAL NETWORKS. /. M. LANGE, H.-M. VOIGT, D. WOLF 73
5 XNEUROGENE: A SYSTEM FOR EVOLVING ARTIFICIAL NEURAL NETWORKS. C.
JACOB, J. REHDER, J. SIEMANDEL, A. FRIEDMANN 739 INCREMENTAL TRAINING
STRATEGIES. 7. CLOETE, J. LUDIK 743 MODULAR OBJECT-ORIENTED NEURAL
NETWORK SIMULATORS AND TOPOLOGY GENERALIZATIONS. G. THIMM, R. GRAU, E.
FIESLER 747 GRADIENT-BASED ADAPTATION OF NETWORK STRUCTURE. B. DE VRIES
751 A CONNECTIONIST MODEL USING MULTIPLEXED OSCILLATIONS AND SYNCHRONY
TO ENABLE DYNAMIC CONNECTIONS. J.-C. MARTIN 755 SOME RESULTS ON
CORRELATION DIMENSION OF TIME SERIES GENERATED BY A NETWORK OF PHASE
OSCILLATORS. R. BORISYUK, A. CASALEGGIO, Y. KAZANOVICH, G. MORGAVI 759
TOWARDS THE APPLICATION OF NETWORKS WITH SYNCHRONIZED OSCILLATORY
DYNAMICS IN VISION. H.-U. BAUER 763 F XVI CONTENTS NEW IMPULSE NEURON
CIRCUIT FOR OSCILLATORY NEURAL NETWORKS. J.-H.SHIN 767 ADAPTIVE
TOPOLOGICALLY DISTRIBUTED ENCODING. M. ELDRACHER, H. GEIGER 771 ON-LINE
LEARNING WITH MOMENTUM FOR NONLINEAR LEARNING RULES. W. WIEGERINCK, A.
KOMODA, T. HESKES 77 5 CONSTRUCTIVE NEURAL NETWORK ALGORITHM FOR
APPROXIMATION OF MULTIVARIABLE FUNCTION WITH COMPACT SUPPORT.
N.MAGNITSKII 779 A HEBB-LIKE LEARNING RULE FOR CELL ASSEMBLIES
FORMATION. F.J. VICO, F. SANDOVAL, J. ALMARAZ 881 CARVE - A CONSTRUCTIVE
ALGORITHM FOR REAL VALUED EXAMPLES. S. YOUNG, T. DOWNS 785 A SUPERVISED
LEARNING RULE FOR THE SINGLE SPIKE MODEL. K.EDER 789 COMPARATIVE
BIBLIOGRAPHY OF ONTOGENIC NEURAL NETWORKS. E.FIESLER 793 CONTROLLED
GROWTH OF CASCADE CORRELATION NETS. L.K. HANSEN, M.W. PEDERSEN 797
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| discipline | Informatik |
| format | Conference Proceeding Book |
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| id | DE-604.BV010165492 |
| illustrated | Illustrated |
| indexdate | 2024-11-25T17:14:19Z |
| institution | BVB |
| institution_GND | (DE-588)2138036-3 |
| isbn | 3540198873 0387198873 |
| language | English |
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| physical | XVI, 800 S. graph. Darst. |
| publishDate | 1994 |
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| spellingShingle | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 Inteligencia artificial (computacao) larpcal Neurale netwerken gtt Künstliche Intelligenz Artificial intelligence Congresses Neural networks (Computer science) Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 |
| title_auth | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 |
| title_exact_search | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 |
| title_full | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 1 Parts 1 and 2 ed. by Maria Marinaro ... ICANN '94 |
| title_fullStr | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 1 Parts 1 and 2 ed. by Maria Marinaro ... ICANN '94 |
| title_full_unstemmed | Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26 - 29 May 1994 1 Parts 1 and 2 ed. by Maria Marinaro ... ICANN '94 |
| title_short | Proceedings of the International Conference on Artificial Neural Networks |
| title_sort | proceedings of the international conference on artificial neural networks sorrento italy 26 29 may 1994 parts 1 and 2 |
| title_sub | Sorrento, Italy, 26 - 29 May 1994 |
| topic | Inteligencia artificial (computacao) larpcal Neurale netwerken gtt Künstliche Intelligenz Artificial intelligence Congresses Neural networks (Computer science) Congresses |
| topic_facet | Inteligencia artificial (computacao) Neurale netwerken Künstliche Intelligenz Artificial intelligence Congresses Neural networks (Computer science) Congresses Konferenzschrift |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006750721&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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