Verfügbarkeit: Artificial neural networks

Artificial neural networks: 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings

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Bibliographische Detailangaben
Körperschaft:	ICANN (Veranstaltung) Lausanne (VerfasserIn)
Format:	Tagungsbericht Buch
Sprache:	English
Veröffentlicht:	Berlin ; Heidelberg ; New York ; Barcelona ; Budapest u.a. Springer 1997
Schriftenreihe:	Lecture notes in computer science 1327
Schlagworte:	Neural networks (Computer science) > Congresses Neuronales Netz Konferenzschrift > 1997 > Lausanne
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	XIX, 1274 S. Ill., graph. Darst.
ISBN:	3540636315

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MARC


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245	1	0	\|a Artificial neural networks \|b 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings \|c ICANN '97. Wulfram Gerstner ... (eds.)
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Datensatz im Suchindex

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adam_text	PART I: CODING AND LEARNING IN BIOLOGY REWARD RESPONSES OF DOPAMINE NEURONS: A BIOLOGICAL REINFORCEMENT SIGNAL SCHULTZ W. 3 THE INFORMATION CONTENT OF ACTION POTENTIAL TRAINS - A SYNAPTIC BASIS MARKRAM H., TSODYKS M. 13 CORTICAL CELL ASSEMBLIES, LAMINAR INTERACTION, AND THALAMOCORTICAL INTERPLAY MILLER R. 25 CROSS-CORRELATIONS IN SPARSELY CONNECTED RECURRENT NETWORKS OF SPIKING NEURONS BRUNEL N. 31 A COMPARATIVE STUDY OF PATTERN DETECTION ALGORITHM AND DYNAMICAL SYSTEM APPROACH USING SIMULATED SPIKE TRAINS TETKO I. V., VILLA A.E.P. 37 SPATIO-TEMPORAL PATTERN RECOGNITION WITH NEURAL NETWORKS: APPLICATION TO SPEECH ROUAT J. 43 NOISE IN INTEGRATE-AND-FIRE MODELS OF NEURONAL DYNAMICS LANSKY P., LDNSKD V. 49 COARSE CODING ACCOUNTS FOR IMPROVEMENT OF SPATIAL DISCRIMINATION AFTER PLASTIC REORGANIZATION IN RATS AND HUMANS EURICH C.W., DINSE H.R., DICKE U., GODDE B., AND SCHWEGLER H. 55 ANALOGUE RESOLUTION IN A MODEL OF THE SCHAFFER COLLATERALS SCHULTZ S., PANZERI S., TREVES A., AND ROLLS E.T. 61 MODELING NETWORKS WITH LINEAR (VLSI) INTEGRATE-AND-FIRE NEURONS MATTIA M., FUSI S. 67 AN INFORMATION-THEORETIC ANALYSIS OF TEMPORAL CODING STRATEGIES BY SPIKING CENTRAL NEURONS DECO G., SCHUEMANN B. 73 CORRELATION CODING IN STOCHASTIC NEURAL NETWORKS RITZ R., SEJNOWSKI T.J. 79 TWO-DIMENSIONAL HODGKIN-HUXLEY EQUATIONS FOR INVESTIGATING A BASIS OF PULSE-PROCESSING NEURAL NETWORKS HIROSE A. 85 CONCURRENT PARALLEL-SEQUENTIAL PROCESSING IN GAMMA CONTROLLED CORTICAL-TYPE NETWORKS OF SPIKING NEURONES KOERNER E., KOERNER U. 91 A NOISE-ROBUST AUDITORY MODELING FRONT END FOR VOICED SPEECH SMITH L.S. 97 A NOVELTY DETECTOR USING A NETWORK OF INTEGRATE AND FIRE NEURONS HO T. V., ROUAT J. 103 VIII DERIVATION OF POOL DYNAMICS FROM MICROSCOPIC NEURONAL MODELS EGGERT J., VAN HEMMEN J.L. 109 HOW A SINGLE PURKINJE CELL COULD LEARN THE ADAPTIVE TIMING OF THE CLASSICALLY CONDITIONED EYE-BLINK RESPONSE STEUBER V., WILLSHAW D.J. 115 AN ALGORITHM FOR SYNAPTIC MODIFICATION BASED ON EXACT TIMING OF PRE AND POST-SYNAPTIC ACTION POTENTIALS SENN W., TSODYKS M., AND MARKRAM H. 121 MODELING PLASTICITY IN RAT BARREL CORTEX INDUCED BY ONE SPARED WHISKER BENUSKOVD L. 127 MATHEMATICAL ANALYSIS OF COMPETITION BETWEEN SENSORY GANGLION CELLS FOR NERVE GROWTH FACTOR IN THE SKIN KOHLI R., CLARKE P.G.H. 133 COMPETITION AMONGST NEURONS FOR NEUROTROPHINS VAN OOYEN A., WILLSHAW D.J. 139 IMPLEMENTING HEBBIAN LEARNING IN A RANK-BASED NEURAL NETWORK SAMUELIDES M., THORPE S., AND VENEAU E. 145 A MODEL OF CLIPPED HEBBIAN LEARNING IN A NEOCORTICAL PYRAMIDAL CELL GRAHAM B., WILLSHAW D.J. 151 HEBBIAN DELAY ADAPTATION IN A NETWORK OF INTEGRATE-AND-FIRE NEURONS EURICH C.W., COWAN J.D., AND MILTON J.G. 157 HIPPOCAMPAL FORMATION TRAINS INDEPENDENT COMPONENTS VIA FORCING INPUT RECONSTRUCTION LORINCZ A. 163 PART II: CORTICAL MAPS AND RECEPTIVE FIELDS NATURE VS. NURTURE IN THE DEVELOPMENT OF TANGENTIAL CONNECTIONS AND FUNCTIONAL MAPS IN THE VISUAL CORTEX LOWEL S., SCHMIDT K.E., AND SINGER W. 171 GEOMETRIC RELATIONSHIPS BETWEEN FEATURE MAPS IN CAT VISUAL CORTEX HUBENER M., SHOHAM D., SCHULZE S., BRANDIE G., GRINVALD A., AND BONHOEFFER T. 177 A LINEAR HEBBIAN MODEL FOR THE DEVELOPMENT OF SPATIOTEMPORAL RECEPTIVE FIELDS OF SIMPLE CELLS WIMBAUER S., WENISCH O., VAN HEMMEN J.L. 183 SYNAPSE CLUSTERING CAN DRIVE SIMULTANEOUS ON-OFF AND OCULAR DOMINANCE SEGREGATION IN A MODEL OF AREA 17 STETTER M., LANG E. W., AND OBERMAYER K. 189 MUST PINWHEELS MOVE DURING VISUAL DEVELOPMENT? WOLF F., GEISEI T. 195 IX EXTENDING THE TRN MODEL IN A BIOLOGICALLY PLAUSIBLE WAY FRISONE F., PERICO L., AND MORASSO P.G. 201 SOM-MODEL FOR THE DEVELOPMENT OF ORIENTED RECEPTIVE FIELDS AND ORIENTATION MAPS FROM NON-ORIENTED ON-CENTER OFF-CENTER INPUTS BROCKMANN D., BAUER H.U., RIESENHUBER M., AND GEISEI T. 207 ON THE ANATOMICAL BASIS OF FIELD SIZE, CONTRAST SENSITIVITY, AND ORIENTATION SELECTIVITY IN MACAQUE STRIATE CORTEX: A MODEL STUDY BAUER U., ADORJDN P., SCHOLZ M., LEVITT J.B., LUND J.S., OBERMAYER K. 213 STATISTICS OF NATURAL AND URBAN IMAGES ZIEGAUS C., LANG E.W. 219 A CBL NETWORK MODEL WITH INTRACORTICAL PLASTICITY AND NATURAL IMAGE STIMULI BURGER T., LANG, E. W. 225 GEOMETRY OF ORIENTATION PREFERENCE MAP DETERMINES NONCLASSICAL RECEPTIVE FIELD PROPERTIES ERNST U., PAWELZIK K., WOLF F., AND GEISEI T. 231 A MODEL FOR ORIENTATION TUNING AND CONTEXTUAL EFFECTS OF ORIENTATION SELECTIVE RECEPTIVE FIELDS BARTSCH H., STETTER M., AND OBERMAYER K. 237 OBJECTIVE FUNCTIONS FOR NEURAL MAP FORMATION WISKOTT L., SEJNOWSKI T.J. 243 RELATIVE TIME SCALES IN THE SELF-ORGANIZATION OF PATTERN CLASSIFICATION: FROM ONE-SHOT TO STATISTICAL LEARNING KOPECZ K., MOHRAZ K. 249 REALIZATION OF GEOMETRIC ILLUSIONS AND GEOMETRY OF VISUAL SPACE WITH NEURAL NETWORKS CHAO J., MIYATA Y., YOSHIDA S. 255 PART III: LEARNING: THEORY AND ALGORITHMS THE SUPPORT VECTOR METHOD VAPNIK V.N. 263 ON THE SIGNIFICANCE OF MARKOV DECISION PROCESSES SUTTON R.S. 273 ECONOMICAL REINFORCEMENT LEARNING FOR NON STATIONARY PROBLEMS CHATENET N., BERSINI H. 283 A DOUBLE GRADIENT ALGORITHM TO OPTIMIZE REGULARIZATION CZERNICHOW T. 289 GLOBAL LEAST-SQUARES VS. EM TRAINING FOR THE GAUSSIAN MIXTURE OF EXPERTS BRADSHAW N.P., DUCHATEAU A., AND BERSINI H. 295 ACCELERATED LEARNING IN BOLTZMANN MACHINES USING MEAN FIELD THEORY HAPPEN H.J., RODRIGUEZ F.B. 301 X ADAPTIVE ONLINE LEARNING FOR NONSTATIONARY PROBLEMS BOS S. 307 WEIGHT DISCRETIZATION DUE TO OPTICAL CONSTRAINTS AND ITS INFLUENCE ON THE GENERALIZATION ABILITIES OF A SIMPLE PERCEPTRON ABOUKASSEM M., SCHWEMBER S., NOEHTE S., AND MANNER R. 313 WAVELET FRAMES BASED ESTIMATOR SOLTANI S., CANU S-, BOICHU D., AND GRANDVALET Y. 319 A SPATIO-TEMPORAL PERCEPTRON FOR ON-LINE HANDWRITTEN CHARACTER RECOGNITION MOZAYYANI N., VOUCHER G. 325 LEARNING OSCILLATIONS USING ADAPTIVE CONTROL WEISS M.G. 331 CREATION OF NEURAL NETWORKS BASED ON DEVELOPMENTAL AND EVOLUTIONARY PRINCIPLES EGGENBERGER P. 337 A BOOSTING ALGORITHM FOR REGRESSION BERTONI A., CAMPADELLI P., AND PARODI M. 343 COMBINING REGULARIZED NEURAL NETWORKS TANIGUCHI M., TRESP V. 349 MAKING STOCHASTIC NETWORKS DETERMINISTIC RUGER S.M. 355 UNSUPERVISED LEARNING IN NETWORKS OF SPIKING NEURONS USING TEMPORAL CODING RUF B., SCHMITT M. 361 EXPERIMENTS ON REGULARIZING MLP MODELS WITH BACKGROUND KNOWLEDGE SELONEN A., LAMPINEN J. 367 ELLIPTICAL BASIS FUNCTION NETWORKS FOR CLASSIFICATION TASKS GUTJAHR S., FEIST J. 373 PROBABILISTIC NEURAL NETWORKS WITH ROTATED KERNEL FUNCTIONS GALLESKE I., CASTELLANOS J. 379 STATISTICAL CONTROL OF RBF-LIKE NETWORKS FOR CLASSIFICATION JANKOWSKI N., KADIRKAMANATHAN V. 385 IMPROVING RBF NETWORKS BY THE FEATURE SELECTION APPROACH EUBAFES SCHERF M., BRAUER W. 391 POLYNOMIAL CLASSIFIERS AND SUPPORT VECTOR MACHINES GRAF I., KRESSEL U., AND FRANKE J. 397 UNIQUE REPRESENTATIONS OF DYNAMICAL SYSTEMS PRODUCED BY RECURRENT NEURAL NETWORKS KIMURA M., NAKANO R. 403 GENERALIZATION OF ELMAN NETWORKS HAMMER B. 409 XI DESIGNING NEURAL NETWORKS BY A COMBINATION OF STRUCTURAL LEARNING AND GENETIC ALGORITHMS ISHIKAWA M., NISHINO K. 415 A RECURRENT SELF-ORGANIZING MAP FOR TEMPORAL SEQUENCE PROCESSING VARSTA M., MILLAN J. DEL R., HEIKKONEN J. 421 AN EXTENDED ELMAN NET FOR MODELING TIME SERIES STAGGE P., SENDHOFF B. 427 RECURRENT ASSOCIATIVE MEMORY NETWORK OF NONLINEAR COUPLED OSCILLATORS KUZMINA M., MANYKIN E., AND SURINA I. 433 A LAYERED RECURRENT NEURAL NETWORK FOR FEATURE GROUPING WER SING H., STEIL J. J., AND RITTER H. 439 A MULTILAYER REAL-TIME RECURRENT LEARNING ALGORITHM FOR IMPROVED CONVERGENCE MEERT K., LUDIK J. 445 INCREASING THE CAPACITY OF A HOPFIELD NETWORK WITHOUT SACRIFICING FUNCTIONALITY STORKEY A. 451 A NOVEL ASSOCIATIVE NETWORK ACCOMMODATING PATTERN DEFORMATION WANG H., BELL D. 457 ADAPTIVE NOISE INJECTION FOR INPUT VARIABLES RELEVANCE DETERMINATION GRANDVALET Y., CANU S. 463 INPUT SELECTION WITH PARTIAL RETRAINING VAN DE LAAR P., GIELEN S., AND HESKES T. 469 ON THE COMPLEXITY OF RECOGNIZING ITERATED DIFFERENCES OF POLYHEDRA MAYORAZ E. 475 OPTIMAL LINEAR REGRESSION ON CLASSIFIER OUTPUTS GUERMEUR Y., D ' ALCHE-BUC F., AND GALLINARI P. 481 LEARNING VERIFICATION IN MULTILAYER NEURAL NETWORKS QUELAVOINE R., NOCERA P. 487 DESIGN OF A FAULT TOLERANT MULTILAYER PERCEPTRON WITH A DESIRED LEVEL OF ROBUSTNESS KWON O.J., BANG S.Y. 493 MIXTURES OF EXPERTS ESTIMATE A POSTERIORI PROBABILITIES MOERLAND P. 499 ADMISSIBILITY AND OPTIMALITY OF THE CASCADE-CORRELATION ALGORITHM DOERING A., GALICKI M, AND WITTE H. 505 THE EFFECTIVE VC DIMENSION OF THE N-TUPLE CLASSIFIER BRADSHAW N.P. 511 XII PART IV: SIGNAL PROCESSING: BLIND SOURCE SEPARA TION, VECTOR QUANTIZATION, AND SELF-ORGANIZATION FROM NEURAL PRINCIPAL COMPONENTS TO NEURAL INDEPENDENT COMPONENTS OJA E., KARHUNEN J., AND HYVARINEN A. 519 ENTROPY OPTIMIZATION - APPLICATION TO BLIND SOURCE SEPARATION TALEB A., JUTTEN C. ' 529 IMPROVING THE PERFORMANCE OF INFOMAX USING STATISTICAL SIGNAL PROCESSING TECHNIQUES KOEHLER B.-U., LEE T.-W., AND ORGLMEISTER R. 535 A MAXIMUM LIKELIHOOD APPROACH TO NONLINEAR BLIND SOURCE SEPARATION PAJUNEN P., KARHUNEN J. 541 A PERCEPTRON-BASED APPROACH TO PIECEWISE LINEAR MODELING WITH AN APPLICATION TO TIME SERIES MATTAVELLI M., AMALDI E., AND VESIN J.-M. 547 LOCAL INDEPENDENT COMPONENT ANALYSIS BY THE SELF-ORGANIZING MAP OJA E., VALKEALAHTI K. 553 MODEL BREAKING DETECTION USING INDEPENDENT COMPONENT CLASSIFIER LINARES G., NOCERA P., AND MELONI H. 559 NEURAL NETWORK BASED PROCESSING FOR SMART SENSORS ARRAYS PARASCHIV-IONESCU A., JUTTEN C., AND BOUVIER G. 565 APPLICATION OF THE MEC NETWORK TO PRINCIPAL COMPONENT ANALYSIS AND SOURCE SEPARATION FIORI S., UNCINI A., AND PIAZZA F. 571 SEMI-BLIND SOURCE PARAMETER SEPARATION JOUTSENSALO J. 577 KERNEL PRINCIPAL COMPONENT ANALYSIS SCHOLKOPF B., SMOLA A. J., AND MULLER K.-R. 583 AN EMPIRICAL COMPARISON OF DIMENSIONALITY REDUCTION TECHNIQUES FOR PATTERN CLASSIFICATION BALACHANDER T., KOTHARI R., AND CUALING H. 589 TOPOLOGY REPRESENTING NETWORKS FOR INTRINSIC DIMENSIONALITY ESTIMATION BRUSKE J., SOMMER G. 595 SOM BASED VISUALIZATION IN DATA ANALYSIS HDKKINEN E., KOIKKALAINEN P. 601 ARTMAP-DS: PATTERN DISCRIMINATION BY DISCOUNTING SIMILARITIES CARPENTER G.A., WILSON F.D.M. 607 A SELF-ORGANIZING NETWORK THAT CAN FOLLOW NON-STATIONARY DISTRIBUTIONS FRITZKE B. 613 PHASE TRANSITIONS IN SOFT TOPOGRAPHIC VECTOR QUANTIZATION BURGER M., GRAEPEL T., AND OBERMAYER K. 619 XIII VECTOR QUANTIZATION BY OPTIMAL NEURAL GAS HERRMANN M., VILLMANN T. 625 CONVERGENCES OF THE KOHONEN MAPS: A DYNAMICAL SYSTEM APPROACH FORT J.-C., PAGES G. 631 LOCAL SUBSPACE CLASSIFIER LAAKSONEN J. 637 ASYMPTOTIC DISTRIBUTIONS ASSOCIATED TO UNSUPERVISED OJA ' S LEARNING EQUATION DELMAS J.P. 643 THE PROBABILISTIC GROWING CELL STRUCTURES ALGORITHM VLASSIS N.A., DIMOPOULOS A., AND PAPAKONSTANTINOU G. 649 UNSUPERVISED CODING WITH LOCOCODE HOCHREITER S., SCHMIDHUBER J. 655 WAVE PROPAGATION IN SELF-ORGANIZING FEATURE MAPS AS A MEANS FOR THE REPRESENTATION OF TEMPORAL SEQUENCES DOBRZEWSKI B., RUWISH D., AND BODE M. 661 CONTEXTUAL KOHONEN SOM WITH ORTHOGONAL WEIGHT ESTIMATOR PRINCIPLE PICAN N. 667 PART V: ROBOTICS, ADAPTIVE AUTONOMOUS AGENTS, AND CONTROL SELF-ORGANIZING MAPS FOR ROBOT CONTROL RITTER H. 675 COGNITION IS NOT COMPUTATION; EVOLUTION IS NOT OPTIMISATION HARVEY I. 685 INFORMATION THEORETIC IMPLICATIONS OF EMBODIMENT FOR NEURAL NETWORK LEARNING SCHEIER C., PFEIFER R. 691 VISUAL ATTENTION AND LEARNING OF A COGNITIVE ROBOT TANI J. 697 FEATURE BINDING THROUGH TEMPORALLY CORRELATED NEURAL ACTIVITY IN A ROBOT MODEL OF VISUAL PERCEPTION EGNER S., SCHEIER C. 703 MODELING OBSTACLE AVOIDANCE BEHAVIOR OF FLIES USING AN ADAPTIVE AUTONOMOUS AGENT HUBER S.A., BIILTHOFF H.H. 709 MINIMALISTIC APPROACH TO 3D OBSTACLE AVOIDANCE BEHAVIOR FROM SIMULATED EVOLUTION NEUMANN T.R., HUBER S.A., AND BIILTHOFF H.H. 715 SYNTHESIS OF DEVELOPMENTAL AND EVOLUTIONARY MODELING OF ADAPTIVE AUTONOMOUS AGENTS VAARIO J., SHIMOHARA K. 721 XIV HEBBIAN MULTILAYER NETWORK IN A WHEELCHAIR ROBOT BUHLMEIER A., STEINER P., ROSSMANN M., GOSER K., AND MANTEUFFEL G. 727 NEURAL NETWORKS IN AN ARTIFICIAL LIFE PERSPECTIVE NOLFI S., PARISI D. 733 INCREMENTAL ACQUISITION OF LOCAL NETWORKS FOR THE CONTROL OF AUTONOMOUS ROBOTS DEL R. MILLAN J. 739 ROBOT-ANIMAL INTERACTION LUND H.H. 745 THE VIEW-GRAPH APPROACH TO VISUAL NAVIGATION AND SPATIAL MEMORY MALLOT H.A., FRANZ M., SCHOLKOPF B., AND BIILTHOFF H.H. 751 PLACE SEQUENCE LEARNING FOR NAVIGATION TRULLIER 0., MEYER J.-A. 757 LEARNING TO COMMUNICATE THROUGH IMITATION IN AUTONOMOUS ROBOTS BILLARD A., HAYES G. 763 ON LEARNING SOCCER STRATEGIES SALUSTOWICZ R., WIERING M., AND SCHMIDHUBER J. 769 A MODEL OF LOGIC LIKE INFERENCE BY MEMORY MODEL PATON MIZUTANI K., OMORI T. 775 FORCE FEEDBACK CONTROL OF AN ASSEMBLY ROBOT BY NEURAL NETWORKS SAADIA N., AMIRAT Y., PONTNAU J., AND RAMDANE-CHERIF A. 781 NEURAL FORCE CONTROL (NFC) FOR COMPLEX MANIPULATOR TASKS DAPPER M., MAASS R., ZAHN V., AND ECKMILLER R. 787 A HYBRID PATH PLANNING SYSTEM COMBINING THE A-METHOD AND RBF-NETWORKS FRONTZEK T., GOERKE N., AND ECKMILLER R. 793 AN ASSOM NEURAL NETWORK TO REPRESENT ACTIONS PERFORMED BY AN AUTONOMOUS AGENT CHELLA A., GAGLIO S., MULIA V., AND SAJEVA G. 799 THE APPLICATION OF RADIAL BASIS FUNCTION NETWORKS WITH IMPLICIT CONTINUITY CONSTRAINTS SALOMON R. 805 AUTONOMOUS VEHICLE GUIDANCE USING ANALOG VLSI NEUROMORPHIC SENSORS INDIVERI G., VERSCHURE P. 811 NEURAL NETWORK VISUAL TRACKING SYSTEM ORTMANN V., ECKMILLER R. 817 POLE-BALANCING WITH DIFFERENT EVOLVED NEUROCONTROLLERS PASEMANN F. 823 CALIBRATION OF PARALLEL ROBOTS BY EVOLUTIONARY ALGORITHM KOKCHAROV I. 831 ON USE OF ANNS TO MODEL AND TO CONTROL ROBOT MANIPULATORS DULGBA I., MUSZYNSKI R. 837 XV IDENTIFICATION OF THE ELECTRIC ARC OF A FURNACE LEDOUX C., BONNARD F. 843 ON USING MLPS FOR STEP SIZE CONTROL IN ECHO CANCELLATION FOR HANDS FREE TELEPHONE SETS BREINING C., ALT G. 849 NEUROCONTROL OF NONLINEAR DYNAMIC SYSTEMS SUBJECT TO UNMEASURED DISTURBANCE INPUTS HABTOM R., LITZ L. 855 MULTIPLE MULTIVARIATE REGRESSION AND GLOBAL OPTIMIZATION IN A LARGE SCALE THERMODYNAMICAL APPLICATION ZARAGOZA H., GALLINARI P. 861 A NEURAL NETWORK FOR PARAMETER ESTIMATION OF A DC MOTOR FOR FEED-DRIVES DESFORGES X., HABBADI A. 867 PART VI: SPEECH, VISION, AND PATTERN RECOGNITION STATE-OF-THE-ART AND RECENT PROGRESS IN HYBRID HMM/ANN SPEECH RECOGNITION BOURLARD H. 875 PERCEPTUAL GROUPING AND ATTENTION DURING CORTICAL FORM AND MOTION PROCESSING GROSSBERG S. 885 DEVELOPMENT OF SHAPE PRIMITIVES FROM IMAGES OF COMPOSITE OBJECTS REPRESENTED BY COMPLEX CELLS SHAMS L., VON DER MALSBURG C. 895 CORNER DETECTION IN COLOR IMAGES BY MULTISCALE COMBINATION OF END-STOPPED CORTICAL CELLS WURTZ R.P., LOURENS T. 901 CONSTRUCTING THE CYCLOPEAN VIEW HENKEL R.D. 907 SAIM: A MODEL OF VISUAL ATTENTION AND NEGLECT HEINKE D., HUMPHREYS G.W. 913 OBJECT SELECTION WITH DYNAMIC NEURAL MAPS HAMKER F.H., GROSS H.-M. 919 A PRE-PROCESSING TECHNIQUE BASED ON THE WAVELET TRANSFORM FOR LINEAR AUTOASSOCIATORS WITH APPLICATIONS TO FACE RECOGNITION YANG F., PAINDAVOINE M., AND ABDI H. 925 RECOGNITION AND SEGMENTATION OF COMPONENTS OF A FACE BY A MULTI RESOLUTION NEURAL NETWORK FUKUSHIMA K., HASHIMOTO H. 931 SENSOR FUSION FOR MINE DETECTION WITH THE RNN GELENBE E., KOGAK T., AND COLLINS L. 937 XVI IMAGE SEGMENTATION FOR 3D OBJECT RECOGNITION USING BIDIRECTIONAL NETWORKS FUJITA T., ANDO H. 943 A FEATURE MAP APPROACH TO POSE ESTIMATION BASED ON QUATERNIONS WINKLER S., WUNSCH P., AND HIRZINGER G. 949 FACIAL FEATURE DETECTION USING NEURAL NETWORKS VARCHMIN A.C., RAE R., AND RITTER H. 955 RANDOM NEURAL NETWORK RECOGNITION OF SHAPED OBJECTS IN STRONG CLUTTER BAKIRCIOGLU H., GELENBE E., AND CARIN L. 961 ADABOOSTING NEURAL NETWORKS: APPLICATION TO ON-LINE CHARACTER RECOGNITION SCHWENK H., BENGIO Y. 967 CURSIVE SCRIPT RECOGNITION WITH TIME DELAY NEURAL NETWORKS USING LEARNING HINTS MARTI U.-V., KAUFMANN G., AND BUNKE H. 973 PART VII: PREDICTION, FORECASTING, AND MONITORING A POWERFUL TOOL FOR FITTING AND FORECASTING DETERMINISTIC AND STOCHASTIC PROCESSES: THE KOHONEN CLASSIFICATION DE BODT E., GREGOIRE P., AND COTTRELL M. 981 NEURAL MODEL SELECTION: HOW TO DETERMINE THE FITTEST CRITERION? MANGEAS M. 987 LONG TERM FORECASTING BY COMBINING KOHONEN ALGORITHM AND STANDARD PREVISION COTTRELL, M., GIRARD B., AND ROUSSET P. 993 PREDICTING TIME SERIES WITH SUPPORT VECTOR MACHINES MULLER K.-R., SMOLA A. J., RATSCH G., SCHOLKOPF B., KOHLMORGEN J., AND VAPNIK V.N. 999 AN EXTENDED NEURON MODEL FOR EFFICIENT TIME-SERIES GENERATION AND PREDICTION BURG T., TSCHICHOLD-GIIRMAN N. 1005 DIFFERENT MODEL TYPES FOR SHORT-TERM FORECASTING OF CHARACTERISTIC LOAD POINTS MONTEYNE M., SALOME T., DE VIRON F., RENDERS J.-M., DOULLIEZ P., DONGIER F., AND CLAUS J. 1011 ASSESSING ERROR BARS IN DISTRIBUTION LOAD CURVE ESTIMATION FIDALGO J.N., MATOS M.A., AND PONCE DE LEDO M.T. 1017 BUILDING HIGH PERFORMANT CLASSIFIERS BY INTEGRATING BAYESIAN LEARNING, MUTUAL INFORMATION AND COMMITTEE TECHNIQUES - A CASE STUDY IN TIME SERIES PREDICTION RAGG T., GUTJAHR S. 1023 A PROBABILITY ESTIMATION BASED CRITERIA FOR MODEL EVALUATION CZERNICHOW T., MUNOZ A. 1029 XVII SHORT-TERM LOAD FORECASTING BASED ON CORRELATION DIMENSION ESTIMATION AND NEURAL NETS CAMASTRA F., COLLA A.M. 1035 PREDICTIVE NEURAL MODELS IN NOISY ENVIRONMENT LENEZ T., DORIZZI B. 1041 A NEURAL-FIR PREDICTOR: MINIMUM SIZE ESTIMATION BASED ON NONLINEARITY ANALYSIS OF INPUT SEQUENCE KHALAF A.A.M., NAKAYAMA K,, AND HARA K. 1047 MODELING CONDITIONAL PROBABILITIES WITH COMMITTEES OF RVFL NETWORKS HUSMEIER D., TAYLOR J. G. 1053 CLASSIFYING THE WEAR OF TURNING TOOLS WITH NEURAL NETWORKS SICK B. 1059 DETECTION OF MOBILE PHONE FRAUD USING SUPERVISED NEURAL NETWORKS: A FIRST PROTOTYPE MOREAU Y., VERRELST H., AND VANDEWALLE J. 1065 WIENER TYPE SOM AND MLP-CLASSIFIERS FOR RECOGNITION OF DYNAMIC MODES VISALA A., PITKANEN H., AND HALME A. 1071 ANALYSIS OF WAKE/SLEEP EEG WITH COMPETING EXPERTS KOHLMORGEN J., MULLER K.-R., RITTWEGER J., AND PAWELZIK K. 1077 NONLINEAR MODELLING OF THE DAILY HEART RHYTHM SILIPO R., DECO G., VERGASSOLA R., SCHITTENKOPF C., AND GREMIGNI C. 1083 LINEAR AND NONLINEAR COMBINATIONS OF CONNECTIONIST MODELS FOR LOCAL DIAGNOSIS IN REAL-TIME TELEPHONE NETWORK TRAFFIC MANAGEMENT BENNANI Y., BOSSAERT F., AND DIDELET E. 1089 NEURAL NETWORK ADAPTIVE MODELING OF BATTERY DISCHARGE BEHAVIOR GERARD 0., PATILLON J.-N., AND D ' ALCHE-BUC F. 1095 NEURAL COMBUSTION CONTROL MULLER R. 1101 A NEURAL NETWORK BASED FAULT DETECTOR FOR POWER DISTRIBUTION SYSTEMS ASSEF Y., BASTARD P., AND MEUNIER M. 1107 VISUALIZATION AND ANALYSIS OF VOLTAGE STABILITY USING SELF-ORGANIZING NEURAL NETWORKS HANDSCHIN E., KUHLMANN D., AND REHTANZ C. 1113 CLASSIFICATION OF METEOROLOGICAL PATTERNS AMBIIHL J., CATTANI D., AND ECKERT P. 1119 MAPPING OF SOIL CONTAMINATION BY USING ARTIFICIAL NEURAL NETWORKS AND MULTIVARIATE GEOSTATISTICS KANEVSKI M., DEMYANOV V., AND MAIGNAN M. 1125 XVIII PART VIII: IMPLEMENTATIONS PSEUDO-RESISTIVE NETWORKS AND THEIR APPLICATIONS TO ANALOG COLLECTIVE COMPUTATION VITTOZ E.A. 1133 IMPLEMENTATION OF CNN COMPUTING TECHNOLOGY ROSKA T. 1151 IMPLEMENTATION OF A MASKING NETWORK FOR SPEECH PERCEPTION CHIUEH T.-D., BU L. 1157 REAL-TIME ANALOG VLSI SENSORS FOR 2-D DIRECTION OF MOTION DEUTSCHMANN R.A., HIGGINS C.M., AND KOCH C. 1163 AN IMPROVED MULTIPLEXED RESISTIVE NETWORK FOR ANALOG IMAGE PREPROCESSING YI C.-H., SCHLABBACH R., KROTH H., AND KLAR H. 1169 AN ANALOG VLSI COMPUTATIONAL ENGINE FOR EARLY VISION TASKS BISIO G.M., BO G.M., CONFALONE M., RAFFO L., SABATINI S.P., AND ZIZOLA M.P. 1175 SPATIO-TEMPORAL FILTER ADJUSTMENT FROM EVALUATIVE FEEDBACK FOR A RETINA IMPLANT BECKER M., ECKMILLER R. 1181 SIMULATION OF SPIKING NEURAL NETWORKS ON DIFFERENT HARDWARE PLATFORMS JAHNKE A., SCHONAUER T., ROTH U., MOHRAZ K, AND KLAR H. 1187 ADAPTIVE ON-LINE LEARNING ALGORITHM FOR ROBUST ESTIMATION OF PARAMETERS OF NOISY SINUSOIDAL SIGNALS JOBOS T., CICHOCKI A., KOSTYLA P., AND WACLAWEK Z. 1193 ANALOG SEQUENTIAL ARCHITECTURE FOR NEURO-FUZZY MODELS VLSI IMPLEMENTATION MORENO J.M., MADRENAS J., ALARCON E., AND CABESTANY J. 1199 A MIXED-SIGNAL VLSI CIRCUIT FOR SKELETONIZATION BY GRASSFIRE TRANSFORMATION OLAH M., MASA P., AND LBRINCZ A. 1205 ANALYSIS AND IMPROVEMENT OF NEURAL NETWORK ROBUSTNESS FOR ON-BOARD SATELLITE IMAGE PROCESSING MULLER J.-D., CHEYNET P., AND VELAZCO R. 1211 ON-LINE HEBBIAN LEARNING FOR SPIKING NEURONS: ARCHITECTURE OF THE WEIGHT-UNIT OF NESPINN ROTH U., JAHNKE A., AND KLAR H. 1217 MEASUREMENT OF FINITE-PRECISION EFFECTS IN HANDWRITING AND SPEECH RECOGNITION ALGORITHMS SDCKINGER E. 1223 XIX A HARDWARE IMPLEMENTATION OF HIERARCHICAL NEURAL NETWORKS FOR REAL-TIME QUALITY CONTROL SYSTEMS IN INDUSTRIAL APPLICATIONS BARATTA D., BO G.M., CAVIGLIA D.D., VALLE M., CANEPA G., PARENTI R., AND PENNO C. 1229 THE SAND NEUROCHIP AND ITS EMBEDDING IN THE MIND SYSTEM FISCHER T., EPPLER W., GEMMEKE H., KOCK G., AND BECHER T. 1235 SHORT AND LONG-TERM DYNAMICS IN A STOCHASTIC PULSE STREAM NEURON IMPLEMENTED IN FPGA ROSSMANN M., BUHLMEIER A., MANTEUFFEL G., AND GOSER K. 1241 FPGA IMPLEMENTATION OF A NETWORK OF NEURONLIKE ADAPTIVE ELEMENTS PEREZ-URIBE A., SANCHEZ E. 1247 HANDWRITTEN DIGIT RECOGNITION WITH BINARY OPTICAL PERCEPTRON SAXENA I., MOERLAND P., FIESLER E., AND POURZAND A. 1253 MAPPING OF RADIAL BASIS FUNCTION NETWORKS TO PARTIAL TREE SHAPE PARALLEL NEUROCOMPUTER KOLINUMMI P., HAMALAINEN T., AND SAARINEN J. 1259 ATTRACTOR DYNAMICS IN AN ELECTRONIC NEURAL NETWORK DEL GIUDICE P., FUSI S. 1265 AUTHOR INDEX 1271
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dewey-search	006.3/2 21
dewey-sort	16.3 12 221
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
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spelling	ICANN (Veranstaltung) 7 1997 Lausanne Verfasser (DE-588)2165651-4 aut Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings ICANN '97. Wulfram Gerstner ... (eds.) ICANN '97 Berlin ; Heidelberg ; New York ; Barcelona ; Budapest u.a. Springer 1997 XIX, 1274 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lecture notes in computer science 1327 Neural networks (Computer science) -- Congresses Neuronales Netz (DE-588)4226127-2 gnd rswk-swf (DE-588)1071861417 Konferenzschrift 1997 Lausanne gnd-content Neuronales Netz (DE-588)4226127-2 s DE-604 Gerstner, Wulfram Sonstige oth Lecture notes in computer science 1327 (DE-604)BV000000607 1327 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007772684&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings Lecture notes in computer science Neural networks (Computer science) -- Congresses Neuronales Netz (DE-588)4226127-2 gnd
subject_GND	(DE-588)4226127-2 (DE-588)1071861417
title	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings
title_alt	ICANN '97
title_auth	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings
title_exact_search	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings
title_full	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings ICANN '97. Wulfram Gerstner ... (eds.)
title_fullStr	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings ICANN '97. Wulfram Gerstner ... (eds.)
title_full_unstemmed	Artificial neural networks 7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings ICANN '97. Wulfram Gerstner ... (eds.)
title_short	Artificial neural networks
title_sort	artificial neural networks 7th international conference lausanne switzerland october 8 10 1997 proceedings
title_sub	7th international conference, Lausanne, Switzerland, October 8 - 10, 1997 ; proceedings
topic	Neural networks (Computer science) -- Congresses Neuronales Netz (DE-588)4226127-2 gnd
topic_facet	Neural networks (Computer science) -- Congresses Neuronales Netz Konferenzschrift 1997 Lausanne
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=007772684&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV000000607
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