Artificial Neural Networks. Proceedings of the 1991 International Conference on Artificial Neural Networks (Icann–91), Espoo, Finland, 24–28 June, 1991

Content: Front Matter, Page iii Copyright, Page iv SELF-ORGANIZING MAPS: OPHMIZATION APPROACHES, Pages 981-990, Teuvo Kohonen CONNECTIONISM OR WEIGHTLESS NEUROCOMPUTING?, Pages 991-1000, Igor ALEKSANDER PROBABILISTIC APPROACH FOR MULTICLASS CLASSIFICATION WITH NEURAL NETWORKS, Pages 1003-1006, Philippe REFREGIER, François VALLET ON THE FEEDBACK PERCEPTRON, Pages 1007-1010, Giuseppe Martinelli, Renzo Perfetti MATHEMATICAL ASPECTS OF NEURO-DYNAMICS FOR COMBINATORIAL OPTIMIZATION, Pages 1011-1014, Yoshinori Uesaka THE QUANTITATIVE DESCRIPTION OF PLN NETWORK'S BEHAVIOR, Pages 1015-1018, Bo Zhang, Ling Zhang, Huai Zhang PREDICTING THE ANNEALING RANGE BY COMPUTING CRITICAL TEMPERATURE IN MEAN FIELD ANNEALING FOR THE TRAVELING SALESMAN PROBLEM, Pages 1019-1024, Chan Ik Park ORDERS OF APPROXIMATION OF NEURAL NETWORKS TO BRAIN STRUCTURE: LEVELS, MODULES AND COMPUTING POWER, Pages 1025-1028, Patrick T.W. Hudson, R. Hans Phaf A Provably Convergent Perceptron-Like Algorithm for Learning Hypercubic Decision Regions, Pages 1029-1032, Robert C. Williamson, William A. Sethares Perceptron Learning with Reasonable Distributions of Examples, Pages 1033-1036, Peter L. Bartlett, Robert C. Williamson GLOBAL OPTIMIZATION BY REACTION-DIFFUSION SYSTEMS, Pages 1037-1040, Alexander S. MIKHAILOV, Valery M- TERESHKO SELF-ORGANIZING MAP TRAINING USING DYNAMIC K-D TREES, Pages 1041-1044, Michael Kelly NETWORK CONFIGURATION AND INITIALIZATION USING MATHEMATICAL MORPHOLOGY: THEORETICAL STUDY OF MEASUREMENT FUNCTIONS, Pages 1045-1048, Michel SCHMITT, François VALLET A GLOBAL APPROACH TO CLASSIFICATION: PROBABILISTIC ASPECTS, Pages 1049-1052, F. VALLET A NETWORK FOR DISCRIMINANT ANALYSIS, Pages 1053-1056, Hans Kühnel, Paul Tavan ON THE NEURAL NETS DISCRETENESS ROLE BY THE TREATMENT OF IMAGES, Pages 1057-1059, Nicolai S. BELLIUSTIN, Aleksander V. MASTEROW, Vladimir G. YAKHNO AN INFORMATION THEORETICAL INTERPRETATION OF NEURONAL ACTIVITIES, Pages 1061-1064, Tetsuya Takahashi CLASSIFICATION OF REMOTELY-SENSED SATELLITE IMAGES USING MULTI-LAYER PERCEPTRON NETWORKS, Pages 1067-1070, I. Kanellopoulos, A. Varfis, G.G. Wilkinson, J. Mégier NEURAL NETWORK FOR DIGITAL IMAGE ENHANCEMENT, Pages 1071-1074, Valeriu C. Beiu IMAGE PROCESSING BY NEURAL NETWORK IMPLEMENTATION OF 2-D KALMAN FILTER, Pages 1075-1078, Slawomir Skoneczny, Andrzej Dzieliński GAP-REMOVAL IMAGE TRANSFORMATION FOR ALIAS, Pages 1079-1082, Peter Bock, Richard M. Rovner IMAGE SEGMENTATION USING 4 DIRECTION LINE-PROCESSES AND WINNER-TAKE-ALL, Pages 1083-1086, Josiane Zerubia, Davi Geiger CONSTRAINT SATISFACTION NEURAL NETWORKS FOR IMAGE SEGMENTATION, Pages 1087-1090, Wei-Chung Lin, Eric Chen-Kuo Tsao, Chin-Tu Chen A CUT-POINT RECOGNITION ALGORITHM USING PLN NODE, Pages 1091-1094, Teresa B. LUDERMIR A NOVEL CHARACTER RECOGNITION SYSTEM USING A CONTEXTUAL FEEDBACK CONNECTIONIST MODULE TO ENHANCE SYSTEM PERFORMANCE, Pages 1095-1098, John M. Rice NN AND HEURISTIC APPROACH TO CHARACTER RECOGNITION, Pages 1099-1102, Aziz MOUKRIM, Corinne MULLER SIMILARITY-INVARIANT RECOGNITION OF VISUAL IMAGES WITH HELP OF KOHONEN'S MAPPING FORMATION ALGORITHM, Pages 1103-1106, A.P. Kartashov ACQUIRED STRUCTURE, ADAPTED PARAMETERS: MODIFICATIONS OF THE NEOCOGNITRON, Pages 1107-1110, Anne TROTIN, Nicolas DARBEL, Francis JUTAND MODEL-BASED OBJECT RECOGNITION USING ARTIFICIAL NEURAL NETWORKS, Pages 1111-1115, George N. Bebis, George M. Papadourakis AUTOMATIC CLASSIFICATION OF VISUAL EVOKED POTENTIALS BY FEEDFORWARD NEURAL NETWORKS, Pages 1117-1120, Juan A. Sigüenza, S. González, José R. Dorronsoro, Vicente López A NEURAL NETWORK MODEL FOR CONTROL AND STABILIZATION OF REVERBERATING PATTERN SEQUENCES, Pages 1121-1123, H.-J. Boehme, E. Koerner RESULTS OBTAINED WITH THE AUTOGENERATIVE NODAL MEMORY (ANM) MODEL NEURAL NETWORK, Pages 1125-1128, Frank A. MONACO LEARNING TOPOLOGICAL MAPPINGS FOR SKELETAL REPRESENTATION, Pages 1131-1134, Chung-Chih CHEN Basins of Attraction in Neural Network Models Trained with External Fields, Pages 1135-1138, H W Yau, D J Wallace FAST LEARNING ALGORITHMS FOR NEURAL NETWORKS, Pages 1141-1144, Nicolaos B. KARAYIANNIS, Anastasios N. VENETSANOPOULOS ON NEURAL NETWORK ALGORITHM FOR GRAPH MATCHING, Pages 1145-1148, Igor Yu. POTERYAIKO Recurrence with Delayed Links in Multilayer Networks for Processing Sequential Data, Pages 1149-1152, J. Hoekstra, R. Kooijman DYNAMICALLY CAPACITY ALLOCATING NETWORK MODELS FOR CONTINUOUS LEARNING, Pages 1153-1156, Petri A. Jokinen TOWARDS OPTIMAL ARCHITECTURES FOR LOGICAL NEURAL NETS, Pages 1157-1160, W.D. PENNY, T.J. STONHAM PREDICTION AND GENERALIZATION IN LOGICAL NEURAL NETS, Pages 1161-1164, Sheng-Wei ZHANG, T.J. STONHAM FUSION-TECHNOLOGY AND THE DESIGN OF EVOLUTIONARY MACHINES FOR NEURAL NETWORKS, Pages 1165-1168, Michael Zaus, Roland Megnet Synaptic Growth As A Learning Model, Pages 1169-1172, Stephen M. Bauer, Raj Acharya LEARNING AND GENERALIZATION IN ADAPTIVE LOGIC NETWORKS, Pages 1173-1176, William W. Armstrong, Andrew Dwelly, Jian Dong Liang, Dekang Lin, Scott Reynolds A COMPARISON BETWEEN REAL AND COMPLEX VALUED NEURAL NETWORKS IN COMMUNICATION APPLICATIONS, Pages 1177-1180, N. Benvenuto, M. Marchesi, F. Piazza, A. Uncini SDNN: AN O(1) PARALLEL PROCESSING WITH STRICTLY DIGITAL NEURAL NETWORKS FOR COMBINATORIAL OPTIMIZATION IN LARGE SCALE N-QUEEN PROBLEM, Pages 1181-1184, Tohru Nakagawa, Hajime Kitagawa STABILITY RESULTS OF A CLASS OF CONTINUOUS ASSOCIATIVE MEMORIES WITH HIGH-CAPACITY, Pages 1187-1190, Tzi-Dar Chiueh ON THE RETRIEVAL IN HOPFIELD NETS WITH A FINITE RANGE OF CONNECTIONS, Pages 1191-1194, Eva Koscielny-Bunde TOLERANCE OF A BINARY ASSOCIATIVE MEMORY TOWARDS STUCK-AT-FAULTS, Pages 1195-1198, U. Rueckert, H. Surmann MULTI-FONT CHINESE CHARACTER RECOGNITION WITH ASSOCIATIVE MEMORY NETWORK, Pages 1199-1202, Ming Zhang, Ching Y. Suen, T.D. Bui IMAGE RECOGNITION IN HYPERCOLUMNAR SCALE SPACE BY SPARSELY CODED ASSOCIATIVE MEMORY, Pages 1203-1206, H. Janßen, J. Kopecz DESIGN IMPROVEMENTS IN ASSOCIATIVE MEMORIES FOR CEREBELLAR MODEL ARTICULATION CONTROLLERS (CMAC), Pages 1207-1210, P.C. Edgar An, W. Thomas Miller III, P.C. Parks Implementing a “Sense of Time” via Entropy in Associative Memories, Pages 1211-1214, Larry M. Manevitz Paging Associative Memories, Pages 1215-1218, Russell Beale, Tom Jackson, Austin. James On Finding Approximate Solutions to Hard Problems by Neural Networks, Pages 1219-1222, Xin YAO MULTI-LAYER PERCEPTRON LEARNING FOR DESIGN PROBLEM SOLVING, Pages 1225-1228, S.L. Hung, H. Adeli PROCESS ERROR DETECTION USING SELF-ORGANIZING FEATURE MAPS, Pages 1229-1232, Jarmo T. Alander, Matti Frisk, Lasse Holmström, Ari Hämäläinen, Juha Tuominen Using Inverse Perspective Mapping as a Basis for two Concurrent Obstacle Avoidance Schemes, Pages 1233-1236, Stefan Bohrer, Andreas Lütgendorf, Matthias Mempel A BIOLOGICAL MOTIVATED SYSTEM TO TRACK MOVING OBJECTS BY ACTIVE CAMERA CONTROL, Pages 1237-1240, Sebastian Tölg NEURALLY INSPIRED ASSOCIATIVE MEMORIES FOR LEARNING CONTROL. A COMPARISON, Pages 1241-1244, W.S. Mischo, M. Hormel, H. Tolle FUZZY ASSOCIATIVE MEMORY APPLICATION TO A PLANT MODELING, Pages 1245-1248, Kenji Goto, Toru Yamaguchi FUZZY ASSOCIATIVE MEMORY APPLICATIONS TO CONTROL, Pages 1249-1252, T. Yamaguchi, M. Tanabe, T. Takagi A FAST EDGE DETECTION METHOD FOR NAVIGATION, Pages 1253-1256, Yang Haifeng, Hannu Mäkelä QUADRUPEDAL WALKING USING TRAINED AND UNTRAINED NEURAL MODELS, Pages 1257-1260, Martin Snaith, Owen Holland THE BLIND NEURAL NETWORK MAKER: CAN WE USE CONSTRAINED EMBRYOLOGIES TO DESIGN ANIMAT NERVOUS SYSTEMS?, Pages 1261-1264, Owen Holland, Martin Snaith Path Finding with Nonlinear Waves, Pages 1265-1268, J.A. Sepulchre, A. Babloyantz, L. Steels The Genetic Programming of an Artificial Nervous System, Pages 1269-1272, Hugo de Garis GENETICALLY PROGRAMMED NEURAL NETWORK FOR SOLVING POLE-BALANCING PROBLEM, Pages 1273-1276, Borut Maričić NEURAL NET BASED CONTROL OF THE HEATING PROCESS, Pages 1277-1280, Hannu Koivisto, Pekka Kimpimäki, Heikki Koivo A NEURAL IMPLEMENTATION OF ANALOGIC PLANNING METHODS, Pages 1281-1284, P. Morasso, M. Solari USE OF CMAC NEURAL NETWORKS IN REINFORCEMENT SELF-LEARNING CONTROL, Pages 1285-1288, Chun-Shin Lin, Hyongsuk Kim A SELF-ORGANIZING ALGORITHM FOR THE COMPUTATIONAL LOAD BALANCE OF A CONCURRENT COMPUTER, Pages 1291-1294, M. Goldstein AN UNSUPERVISED HYPERSPHERIC MULTI-LAYER FEEDFORWARD NEURAL NETWORK CLASSIFIER, Pages 1295-1300, Daniel N. Nissani A NOVEL FEATURE MAP ARCHITECTURE FOR THE REPRESENTATION OF CLASSIFIER CONDITION SETS, Pages 1301-1304, Nigel Ball, Kevin Warwick SELF ORGANIZING FEATURE MAPS FOR CONTOUR DETECTION IN VIDEOPHONE IMAGES, Pages 1305-1308, Roberto GEMELLO, Cataldo LETTERA, Franco MANA, Lorenzo MASERA SELF-ORGANIZING FEATURE MAPS FOR APPRAISAL OF LAND VALUE OF SHORE PARCELS, Pages 1309-1312, Eero Carlson FINITE ELEMENT MESHING USING KOHONEN'S SELF-ORGANIZING MAPS, Pages 1313-1317, Olivier SARZEAUD, Yann STEPHAN, Claude TOUZET HENAMnet HOMOGENEOUS ENCODING FOR APPROXIMATION OF MAPPINGS, Pages 1319-1322, J. Hakala SELF-ORGANISING FEATURE MAPS FOR CURSIVE SCRIPT RECOGNITION, Pages 1323-1326, Pietro Morasso ENHANCED MAPPING: AN EXTENSION OF TOPOLOGICAL MAPPING TO FORM INTERNAL REPRESENTATIONS AND SPATIAL MAPPINGS, Pages 1327-1332, L. VERCAUTEREN, G. SIEBEN, D. THIERENS, G. OTTE, L. BOULLART DVQ: DYNAMIC VECTOR QUANTIZATION - AN INCREMENTAL LVQ, Pages 1333-1336, Franck POIRIER, Alexandre FERRIEUX MONITORING OF INPUT SIGNALS SUBSPACE LOCATION IN SENSORY SPACE BY NEURONET INNER LAYER NEURONS THRESHOLD VALUE ADAPTATION, Pages 1337-1340, Vladimir S. Smolin UNSUPERVISED CLUSTERING OF PROTEINS, Pages 1341-1344, Edgardo A. Ferran, Pascual Ferrara An Approach to the Application of Dedicated Neural Network Hardware for Real Time Image Compression, Pages 1345-1348, Andreas Koenig, Manfred Glesner A SELF-ORGANIZING UPDATING NETWORK, Pages 1349-1352, Felipe M.G. FRANçA A LEARNING ALGORITHM WITH MULTIPLE CRITERIA FOR SELF-ORGANIZING FEATURE MAPS, Pages 1353-1356, Kung-Pu Li THE HYPERMAP ARCHITECTURE, Pages 1357-1360, Teuvo Kohonen PERFORMANCE EVALUATION OF EXTENDED BACKPROPAGATION RULE FOR GENERATING NETWORKS OF CONNECTIONIST EXPERT SYSTEMS, Pages 1363-1366, Walid ABU-SALAMEH, Mehmet R. TOLUN Concept Randomness and Neural Networks, Pages 1367-1370, Henry Tirri THE EFFECT OF LOW-LEVEL AIR POLLUTION AND WEATHER ON ASTHMA AND CHRONIC BRONCHITIS PATIENTS, STUDIED BY NEURAL NETWORK METHODS, Pages 1371-1374, K. Enevoldsen, A. Gheorghe, L. Moseholm, B. Sørensen A NEURAL NETWORK THAT LEARNS TO DO HYPHENATION, Pages 1375-1378, Bernd Fritzke, Christof Nasahl PRIME NUMBERS: A WAY TO DISTRIBUTE SYMBOLIC KNOWLEDGE OVER NEURAL NETS, Pages 1379-1382, Yacine BELALA, Christine PAREY PATTERN RECOGNITION OF HOARSE AND HEALTHY VOICES BY THE SELF-ORGANIZING MAP, Pages 1385-1388, Lea Leinonen, Jari Kangas, Kari Torkkola, Anja Juvas LAYERED SELF-ADAPTIVE NEURAL NETWORK APPROACH TO EARLY VISUAL INFORMATION PROCESSING, Pages 1389-1392, Hong PAN, Jian-Feng FENG, Ai-Ke GUO A NEURAL NETWORK FOR VISUAL MOTION DETECTION THAT CAN EXPLAIN PSYCHOPHYSICAL AND PHYSIOLOGICAL PHENOMENA, Pages 1393-1396, Makoto HIRAHARA, Takashi NAGANO A HIGH DEGREE OF NOISE TOLERANCE IN HUMAN VISUAL FLOW DISCRIMINATION, Pages 1397-1400, Makoto Mizuno, Hiroshi Nakajima, Masao Kaneko, Eiki Hida, Minoru Tsukada, Hide-aki Saito RESPONSE OF DIRECTIONALLY SELECTIVE CELLS OF THE MACAQUE DORSAL MST AREA TO VISUAL FLOW WITH DIRECTIONAL NOISE AND ITS RELATION TO THE NOISE TOLERANCE IN HUMAN VISUAL FLOW DISCRIMINATION, Pages 1401-1404, Hide-aki Saito, Makoto Mizuno, Hiroshi Nakajima, Masao Kaneko, Eiki Hida, Minoru Tsukada A DYNAMIC INDUCTION PROCESS FOR LONG-TERM POTENTIATION IN HIPPOCAMPUS STUDIED BY TEMPORAL PATTERN STIMULATION, Pages 1405-1408, Takeshi Aihara, Minoru Tsukada, Makoto Mizuno, Hiroshi Kato, Ken-ich Ito INFORMATION PROCESSING AND LEARNING IN THE OLFACTORY BULB, Pages 1409-1413, Péter érdi, György Barna PATCH-CLAMP STUDIES OF CULTURED OLFACTORY BULB NEURONS, Pages 1415-1418, Kaisa HARTIKAINEN, Tuula JALONEN, Kimmo KASKI STIMULUS-INDUCED NEURAL SYNCHRONIZATIONS, Pages 1419-1422, Bernadette DORIZZI, Basile GRAMMATICOS A FORMALIZATION OF NEISSER'S MODEL, Pages 1423-1426, Giovanni M. GUAZZO MODEL EQUATIONS FOR PASSIVE DENDRITIC INTEGRATION IN SPATIALLY COMPLEX NEURONS, Pages 1427-1430, Andreas K. Schierwagen EXAMPLES OF REALISTIC NEURAL NETWORK SIMULATIONS, Pages 1431-1434, Anders Lansner, örjan Ekeberg, Thomas Wadden, Hans Tråvén, Erik Fransén, Sten Grillner, Peter Wallén, Lennart Brodin CRITICAL DEPENDENCE OF NEURAL NETWORKS PROCESSING ON BETWEEN NEURON DELAYS, Pages 1435-1438, N. AZMY, G. YAHIAOUI, J-F. VIBERT TOOLS FOR BIOLOGICALLY REALISTIC SIMULATIONS OF NEURAL NETWORKS, Pages 1439-1442, örjan Ekeberg, Magnus Stensmo, Hans Tråvén, Björn Levin, Per Hammarlund, Anders Lansner Learning Boolean Functions with an Artificial Neural Network based on an Extended Drive-Reinforcement Model, Pages 1443-1446, J. Hoekstra, W.L. Deurwaarder FUNCTIONAL POINTS OF CONTROL IN BIOLOGICAL NEURAL NETWORKS, Pages 1447-1450, Gary M. Laskoski USING PARAMETRIC CONTROLLED STRUCTURED NETWORK TO APPROACH NEURAL NETWORKS TO NEUROSCIENCE, Pages 1451-1454, A. Richter, W. Zander, E. Koerner THE HEBB RULE IMPLEMENTATION IN A UNIVERSAL NEURAL NET, Pages 1457-1460, P. De Pinto, F.E. Lauria, M. Sette NEMESYS - NEURAL MODELLING SYSTEM FOR WEIGHTLESS NETS, Pages 1461-1463, Janko Mrsic-Flogel EXPERIMENTS WITH PARALLEL BACKPROPAGATION ON A HYPERCUBE PARALLEL PROCESSOR SYSTEM, Pages 1465-1468, Deniz ERCOŞKUN, Kemal OFLAZER Amalgamating the Neural and Logic Computing Paradigms, Pages 1469-1472, JOSé NEVES, PAULO GARRIDO Implementation of the SANS algorithm on the CM2, Pages 1473-1476, Björn Levin BIOSIM—A PROGRAM FOR BIOLOGICALLY REALISTIC NEURAL NETWORK SIMULATIONS ON THE CONNECTION MACHINE, Pages 1477-1480, Per Hammarlund, Björn Levin, Anders Lansner PLANNET: A NEW NEURAL NET SIMULATOR, Pages 1481-1484, Pim H.W. Buurman, Wim J.M. Philipsen, John van Spaandonk FUNCTIONAL SPECIFICATION OF A NEURAL NETWORK, Pages 1485-1488, L.M.W.J. Rutten, P.W.M. Koopman, M.C.J.D. van Eekelen, M.J. Plasmeijer FULLY CONNECTED NEURAL NETWORKS: SIMULATION ON MASSIVELY PARALLEL COMPUTERS, Pages 1489-1492, A. d'Acierno, R. Del Balio, R. Vaccaro PARALLEL LEARNING STRATEGIES ON THE EMMA-2 MULTIPROCESSOR, Pages 1493-1496, Roberto BATTITI, Anna Maria COLLA EFFECTIVE NEURAL NETWORK MODELING IN C, Pages 1497-1500, Gregory L. Tarr, Steven K. Rogers, Matthew Kabrisky, Mark E. Oxley, Kevin L. Priddy SPEEDING-UP BACKPROPAGATION BY DATA ORTHONORMALIZATION, Pages 1503-1506, Fernando M. Silva, Luís B. Almeida DETERMINING WEIGHTS OF THE HOPFIELD NEURAL NETWORKS, Pages 1507-1510, Shigeo ABE RECURRENT AND FEEDFORWARD BACKPROPAGATION: PERFORMANCE STUDIES, Pages 1511-1514, H. Behrens, D. Gawronska, J. Hollatz, B. Schürmann THE NORMALIZED BACKPROPAGATION AND SOME EXPERIMENTS ON SPEECH RECOGNITION, Pages 1515-1518, E. Monte, J. Arcusa, J.B. Mariño, E. Lleida An optimum weights initialization for improving scaling relationships in BP learning, Pages 1519-1522, Gian Paolo Drago, Sandro Ridella LIQUID CRYSTAL OPTICAL RECTIFICATION FOR SIMULATION OF VISUAL EXCITATION AND POTENTIAL APPLICATION TO PATTERN RECOGNITION, Pages 1525-1528, Akihiko SUGIMURA, OU-YANG Zhong-can OPTICAL TAG NEURAL NETWORKS FOR LARGE-SCALE IMPLEMENTATION, Pages 1529-1532, Hyuek-Jae Lee, Soo-Young Lee, Sang-Yung Shin PHOTOREFRACTIVE CRYSTAL WAVEGUIDES FOR OPTICAL NEURAL NETWORKS, Pages 1533-1536, Fumihiko Ito, Ken-ichi Kitayama TRANSPUTER IMPLEMENTATIONS OF NEURAL NETWORKS: AN ANALYSIS, Pages 1537-1540, Jacob M.J. Murre SELF-ORGANIZING LOGIC USING SIMULATED ANNEALING, Pages 1541-1544, Jarkko Niittylahti, Harri Raittinen, Kimmo Kaski A CLASSIFIER CIRCUIT BASED ON AN EXPONENTIAL-CAPACITY ASSOCIATIVE MEMORY, Pages 1545-1548, Tzi-Dar Chiueh A METHOD FOR DESIGNING SYSTOLIC ARCHITECTURES FOR MODELLING SPATIO-TEMPORAL PROPERTIES OF NEURONS USING DOMAIN DECOMPOSITION, Pages 1549-1552, Arno J. Klaassen, Rob Wiërs A Coded Block Adaptive Neural Network Structure for pattern recognition VLSI, Pages 1553-1556, Y.K. Chen, Y.H. Lu, W.C. Mao, J.B. Kuo FAULT TOLERANCE IN ANALOG NEURAL NETWORKS, Pages 1557-1560, Eros Pasero DIGITAL VLSI ARCHITECTURE OF BACKPROPAGATION ALGORITHM WITH ON-CHIP LEARNING, Pages 1561-1564, Jouni Tomberg, Kimmo Kaski A DIGITAL SIGNAL PROCESSOR FOR SIMULATING BACK-PROPAGATION NETWORKS, Pages 1565-1568, Wolfgang Eppler, Markus Rinderspacher, Martin Rudolph VLSI-IMPLEMENTATION OF A PULSE-DENSITY-MODULATED NEURAL NETWORK FOR PC-CONTROLLED COMPUTING ENVIRONMENT, Pages 1569-1572, Karri Palovuori, Jouni Tomberg, Kimmo Kaski A SERIAL-UPDATE VLSI ARCHITECTURE FOR THE LEARNING PROBABILISTIC RAM NEURON, Pages 1573-1576, Trevor CLARKSON, Terry NG, Denise GORSE, John TAYLOR ANALOGUE CIRCUIT FOR ELECTRONIC NEURAL NETWORK, Pages 1577-1579, Il Song Han VLSI-IMPLEMENTATION OF A PROGRAMMABLE DUAL COMPUTING CELLULAR NEURAL NETWORK PROCESSOR, Pages 1581-1584, Kari HALONEN, Janne VääNäNEN, Veikko PORRA, Tamas ROSKA, Leon CHUA FREQUENCY DIFFERENCE SPECTRA AND THEIR USE IN ACOUSTIC PROCESSING, Pages 1587-1590, M. Reuter TIME-DEPENDENT SELF-ORGANIZING MAPS FOR SPEECH RECOGNITION, Pages 1591-1594, Jari Kangas RECURRENT NEURAL NETWORKS AS PHONEME SPOTTERS, Pages 1595-1598, Peter Wittenburg, Remco Couwenberg PHONEME CLASSIFICATION BASED ON THE 2-DIMENSIONAL FORMANT DETECTION, Pages 1599-1603, Dongsoo Har, Kyungtae Kong A SEQUENTIAL NEURAL NETWORK MODEL FOR LEXICAL DECODING IN CONTINUOUS SPEECH RECOGNITION, Pages 1605-1608, Christine IOOSS RECOGNITION OF CORRUPTED LEXICAL PATTERNS, Pages 1609-1612, Andrea Di Carlo, Giacomo Ravaioli, Francesca Rigosi PHONEME RECOGNITION USING ARTIFICIAL NEURAL NETWORKS, Pages 1613-1616, Kjell Elenius, György Takács CLASSIFICATION OF FLOW PATTERNS IN TWO PHASE FLOW BY NEURAL NETWORK, Pages 1617-1620, Norio BABA, Yoshiyuki YAMASHITA, Yasuhiro SHIRAISHI EMG DIAGNOSIS USING THE CONJUGATE GRADIENT BACKPROPAGATION NEURAL NETWORK LEARNING ALGORITHM, Pages 1621-1624, C.S. Pattichis, C. Charalambous, C.N. Schizas, L.T. Middleton GENETICS-BASED-MACHINE-LEARNING IN CUNICAL ELECTROMYOGRAPHY, Pages 1625-1628, K. Panayides, C. Schizas, C. Pattichis, A. Theodosiou, L. Middleton SELECTION OF CHARACTERISTIC PATTERNS IN MAGNETIC AND ELECTRIC ENCEPHALOGRAMS USING A NEURAL NETWORK, Pages 1629-1632, Victor VVEDENSKY, Alexander EZHOV, Lidia KNIZHNIKOVA, Axel WIRTH, Siegfried SCHNEIDER A METHOD OF SPATIAL SPECTRUM ESTIMATION USING NEURAL NETWORKS, Pages 1633-1636, Kong Tie-sen, Yao Kang-ze, Liang Dian-nong FREQUENCY ESTIMATION BY A HEBBIAN SUBSPACE LEARNING ALGORITHM, Pages 1637-1640, Juha Karhunen, Jyrki Joutsensalo NEURAL NETWORKS FOR PROSODY CONTROL IN SPEECH SYNTHESIS, Pages 1641-1644, Matti Karjalainen A SIMPLE LOOK-UP PROCEDURE SUPERIOR TO NETTALK?, Pages 1645-1648, AJ.M.M. Weijters COMPARISON AND COOPERATION OF SEVERAL CLASSIFIERS, Pages 1649-1653, Xavier DRIANCOURT, Léon BOTTOU, Patrick GALLINARI NEURAL NETS AND TASK DECOMPOSITION, Pages 1655-1658, M. de BOLLIVIER, P. GALLINARI, S. THIRIA CONSTRUCTION OF CONTIGUOUS DNA SEQUENCES FROM N-TUPLE CONTENT USING GENERALIZING RAM NEURON MODEL, Pages 1661-1664, Janko Mrsic-Flogel A HYBRID NEURAL NET/KNOWLEDGE BASED APPROACH TO EEG ANALYSIS, Pages 1665-1668, Shail Patel, Michael J Denham TRAFFIC MONITORING WITH WISARD AND PROBABILISTIC LOGIC NODES, Pages 1669-1672, J.S. Goldstone†, C.E. Myers REALTIME ECG DATA COMPRESSION USING DUAL THREE LAYERED NEURAL NETWORKS FOR DIGITAL HOLTER MONITOR, Pages 1673-1676, Akira IWATA, Yasunori NAGASAKA, Susumu KUROYANAGI, Nobuo SUZUMURA PERFORMANCE EVALUATION OF SELF-ORGANIZING MAP BASED NEURAL EQUALIZERS IN DYNAMIC DISCRETE-SIGNAL DETECTION, Pages 1677-1680, Teuvo Kohonen, Kimmo Raivio, Olli Simula, Jukka Henriksson A Hopfield-like structure to extract road boundaries from a road image, Pages 1681-1684, S. Santini, A. Del Bimbo, R. Jain The Impact of the Learning–Set Size in Handwritten–Digit Recognition, Pages 1685-1689, Ulrich H.-G. Kreßel A KIND OF GENERALIZED HOPFIELD CONTINUOUS MODEL AND ITS APPLICATION TO THE OPTIMAL DISTRIBUTION OF REACTIVE POWER SOURCES IN POWER SYSTEMS, Pages 1691-1694, Wen Fushuan, Han Zhenxiang SIGNIFICANT VARIABLE PAIRS WHICH EFFECT NEURAL NETWORK DERIVED PERSONNEL SCREENING SCORES, Pages 1695-1698, Alvin J. Surkan, Kimberly J. Surkan APPLICATION OF THE SELF-ORGANISING FEATURE MAP AND LEARNING VECTOR QUANTISATION TO RADAR CLUTTER CLASSIFICATION, Pages 1699-1702, Richard Mann, Simon Hay kin APPLICATIONS OF NEURAL NETWORKS IN CONTROL TECHNOLOGY, Pages 1703-1707, Raymond R. STROUD, Tom J. HARRIS, Karen L. TAYLOR BURGE FINANCIAL DATA RECOGNITION AND PREDICTION USING NEURAL NETWORKS, Pages 1709-1712, David L. BINKS, Nigel M. ALLINSON Learning to Classify Natural Language Titles in a Recurrent Connectionist Model, Pages 1715-1718, Stefan Wermter THE REPRESENTATION OF ABSTRACT ENTITIES IN ARTIFICIAL NEURAL NETWORKS, Pages 1719-1722, Esko Marjomaa A NETWORK-MODEL FOR BINOCULAR INTERACTION IN THE THALAMO-CORTICAL FEEDBACK-SYSTEM, Pages 1723-1726, Fotios GIANNAKOPOULOS, Dietmar HEINKE, Johannes BEST A NEURAL NET MODEL OF SPELLING DEVELOPMENT, Pages 1727-1730, Gordon D.A. Brown, Joanna L. Romney, Richard P.W. Loosemore, Frances L. Watson NEURAL NETS FOR INTELLIGENT TUTORING SYSTEMS, Pages 1731-1734, Roberto Battiti, Roberto Serra AUTONOMOUS CONTROL OF SELECTIVE ATTENTION: SCAN ARCHITECTURES, Pages 1735-1738, Eric O. Postma, H. Jaap van den Herik, Patrick T.W. Hudson SPATIOTEMPORAL CORRELATION IN THE CEREBELLUM, Pages 1739-1742, Maikl Braamhof HARMONY THEORY NETWORKS FOR SCENE ANALYSIS, Pages 1743-1746, T. Tambouratzis MODELING HEBBIAN CELL ASSEMBLIES COMPRISED OF CORTICAL NEURONS, Pages 1747-1750, A. Lansner, E. Fransén, C-C. Li Recurrent Kohonen Self-Organization in Natural Language Processing, Pages 1751-1754, J.C. Scholtes A Multimodal Model of Cognition - Neural Networks and Cognitive Modeling, Pages 1755-1758, Markus F. PESCHL LABOUR, CONSUMPTION AND FAMILY ASSETS: A NEURAL NETWORK LEARNING FROM ITS OWN CROSS-TARGETS, Pages 1759-1762, Pietro TERNA NEURAL NETWORKS, GENETIC ALGORITHMS AND STOCK TRADING, Pages 1763-1766, Sergio MARGARITA ACOUSTIC ILLUSIONS: EXPECTATION DIRECTED FILTERING IN THE HUMAN AUDITORY SYSTEM, Pages 1767-1770, Gregory L. Tarr, Matthew Kabrisky, Steven K. Rogers, Mark Oxley, Kevin L. Priddy SYNCHRONIZATION OF SPIKES IN POPULATIONS OF LATERALLY COUPLED MODEL NEURONS, Pages 1771-1774, Alfred NISCHWITZ, Peter KLAUSNER, Helmut GLüNDER CHARACTER RECOGNITION BY A NEURAL NETWORK WITH FUZZY PARTITIONING UNITS, Pages 1777-1780, Toshiaki EJIMA, Yoshinaga KATO, Yasuo TAN, Kyushirou Ishigaki A Global Minimum Convergence Acceleration Technique Using a k–out–of–n Network Design Rule, Pages 1781-1783, Shinji Hiraiwa, Tohru Nakagawa, Hajime KItagawa APPROXIMATION CAPABILITIES OF NEURAL NETWORKS USING SAMPLING FUNCTIONS, Pages 1785-1788, Hiromi OGI, Hideo TANAKA, Yoshiakira AKIMOTO, Yoshio IZUI ADDITION AND SUBTRACTION IN NEURAL NETS AS RESULTS OF A LEARNING PROCESS, Pages 1789-1792, Anna ESPOSITO, Salvatore RAMPONE, Roberto TAGLIAFERRI GEOMETRICAL LEARNING IN A NETWORK OF AUTOMATA, Pages 1793-1796, Philippe MARTIN, Camille BELLISSANT A Neural Network for Solving Hamiltonian Cycle Problems, Pages 1797-1800, K.T. Sun, H.C. Fu, C. Chen “SHIFT-TOLERANT” LVQ2-BASED DIGITS RECOGNITION, Pages 1803-1807, Livia De Giovanni, Massimo Fedeli, Stefano Montesi ON THE MATHEMATICAL TREATMENT OF SELF-ORGANIZATION: EXTENSION OF SOME CLASSICAL RESULTS, Pages 1809-1812, Pierluigi Conti, Livia De Giovanni Author Index, Pages 1813-1819