7. ICANN 1997:
Lausanne,
Switzerland
Wulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud (Eds.):
Artificial Neural Networks - ICANN '97, 7th International Conference, Lausanne, Switzerland, October 8-10, 1997, Proceedings.
Lecture Notes in Computer Science 1327 Springer 1997, ISBN 3-540-63631-5 
@proceedings{DBLP:conf/icann/1997,
editor = {Wulfram Gerstner and
Alain Germond and
Martin Hasler and
Jean-Daniel Nicoud},
title = {Artificial Neural Networks - ICANN '97, 7th International Conference,
Lausanne, Switzerland, October 8-10, 1997, Proceedings},
booktitle = {ICANN},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {1327},
year = {1997},
isbn = {3-540-63631-5},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Part 1:
Coding and Learning in Biology
- Wolfram Schultz:
Reward Responses of Dopamine Neurons: A Biological Reinforcement Signal.
3-12
- Henry Markram, Misha Tsodyks:
The Information Content of Action Potential Trains - A Synaptic Basis.
13-23
- Robert Miller:
Cortical Cell Assemblies, Laminar Interaction, and Thalamocortical Interplay.
25-30
- Nicolas Brunel:
Cross-Correlations in Sparsely Connected Recurrent Networks of Spiking Neurons.
31-36
- Igor V. Tetko, Alessandro E. P. Villa:
A Comparative Study of Pattern Detection Algorithm and Dynamical System Approach Using Simulated Spike Trains.
37-42
- Jean Rouat:
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech.
43-48
- Petr Lánský, Vera Lánská:
Noise in Integrate-and-Fire Models of Neuronal Dynamics.
49-54
- Christian W. Eurich, Hubert R. Dinse, Ulrike Dicke, Ben Godde, Helmut Schwegler:
Coarse Coding Accouts for Improvement of Spatial Discrimination after Plastic Reorganization in Rats and Humans.
55-60
- Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls:
Analogue Resolution in a Model of the Schaffer Collaterals.
61-66
- Maurizio Mattia, Stefano Fusi:
Modeling Networks with Linear (VLSI) Integrate-and-Fire Neurons.
67-72
- Gustavo Deco, Bernd Schürmann:
An Information-Theoretic Analysis of Temporal Coding Strategies by Spiking Central Neurons.
73-78
- Raphael Ritz, Terrence J. Sejnowski:
Correlation Coding in Stochastic Neural Networks.
79-84
- Akira Hirose:
Two-Dimensional Hodgkin-Huxley Equations for Investigating a Basis of Pulse-Processing Neural Networks.
85-90
- Edgar Körner, Ursula Körner:
Concurrent Parallel-Sequential Processing in Gamma Controlled Cortical-Type Networks of Spiking Neurones.
91-96
- Leslie S. Smith:
A Noise-Robust Auditory Modelin Front End for Voiced Speech.
97-102
- Tuong Vinh Ho, Jean Rouat:
A Novelty Detector Using a Network of Integrate and Fire Neurons.
103-108
- Julian Eggert, J. Leo van Hemmen:
Derivation of Pool Dynamics from Microscopic Neuronal Models.
109-114
- Volker Steuber, David J. Willshaw:
How a Single Purkinje Cell Could Learn the Adaptive Timing of the Classically Conditioned Eye-Blink Response.
115-120
- Walter Senn, Misha Tsodyks, Henry Markram:
An Algorithm for Synaptic Modification Based on Exact Timing of Pre- and Post-Synaptic Action Potentials.
121-126
- Lubica Benusková:
Modeling Plasticity in Rat Barrel Cortex Induced by One Spared Whisker.
127-132
- Raymond Kohli, Peter G. H. Clarke:
Mathematical Analysis of Competition Between Sensory Ganglion Cells for Nerve Growth Factor in the Skin.
133-138
- Arjen van Ooyen, David J. Willshaw:
Competition Amongst Neurons for Neurotrophins.
139-144
- Manuel Samuelides, Simon J. Thorpe, Emmanuel Veneau:
Implementing Hebbian Learning in a Rank-Based Neural Network.
145-150
- Bruce Graham, David J. Willshaw:
A Model of Clipped Hebbian Learning in a Neocortical Pyramidal Cell.
151-156
- Christian W. Eurich, Jack D. Cowan, John G. Milton:
Hebbian Delay Adaptation in a Network of Integrate-and-Fire Neurons.
157-162
- András Lörincz:
Hippocampal Formation Trains Independent Components via Forcing Input Reconstruction.
163-168
Part 2:
Cortical Maps and Receptive Fields
- Siegrid Löwel, Kerstin E. Schmidt, Wolf Singer:
Nature vs. Nurture in the Development of Tangential Connections and Functional Maps in the Visual Cortex.
171-176
- Mark Hübener, Doron Shoham, S. Schulze, G. Brändle, Amiram Grinvald, Tobias Bonhoeffer:
Geometric Relationships Between Feature Maps in Cat Visual Cortex.
177-182
- Stefan Wimbauer, Oliver G. Wenisch, J. Leo van Hemmen:
A Linear Hebbian Model for the Development of Spatiotemporal Receptive Fields of Simple Cells.
183-188
- Martin Stetter, Elmar Wolfgang Lang, Klaus Obermayer:
Synapse Clustering Can Drive Simultaneous ON-OFF and Ocular-Dominance Segregation in a Model of Area 17.
189-194
- Fred Wolf, Theo Geisel:
Must Pinwheels Move During Visual Development?
195-200
- Francesco Frisone, Luca Perico, Pietro Morasso:
Extending the TRN Model in a Biologically Plausible Way.
201-206
- Dirk Brockmann, Hans-Ulrich Bauer, Maximilian Riesenhuber, Theo Geisel:
SOM-Model for the Development of Oriented Receptive Fields and Orientation Maps from Non-oriented ON-center OFF-center Inputs.
207-212
- Ute Bauer, Péter Adorján, Michael Scholz, Jonathan B. Levitt, Jennifer S. Lund, Klaus Obermayer:
On the Anatomical Basis of Field Size, Contrast Sensitivity, and Orientation Selectivity in Macaque Striate Cortex: A Model Study.
213-218
- Christian Ziegaus, Elmar Wolfgang Lang:
Statistics of Natural and Urban Images.
219-224
- Thomas Burger, Elmar Wolfgang Lang:
A CBL Network Model with Intracortical Plasticity and Natural Image Stimuli.
225-230
- Udo Ernst, Klaus Pawelzik, Fred Wolf, Theo Geisel:
Geometry of Orientation Preference Map Determines Nonclassical Receptive Field Properties.
231-236
- Hauke Bartsch, Martin Stetter, Klaus Obermayer:
A Model for Orientation Tuning and Contextual Effects of Orientation Selective Receptive Fields.
237-242
- Laurenz Wiskott, Terrence J. Sejnowski:
Objective Functions for Neural Map Formation.
243-248
- Klaus Kopecz, Karim Mohraz:
Relative Time Scales in the Self-Organization of Pattern Classification: From One-Shot to Statistical Learning.
249-254
- Jinhui Chao, Yasuhiko Miyata, Shinichi Yoshida:
Realization of Geometric Illusions and Geometry of Visual Space with Neural Networks.
255-260
Part 3:
Learning:
Theory and Algorithms
- Vladimir Vapnik:
The Support Vector Method.
263-271
- Richard S. Sutton:
On the Significance of Markov Decision Processes.
273-282
- Nathalie Chatenet, Hugues Bersini:
Economical Reinforcement Learning for Non Stationary Problems.
283-288
- Thomas Czernichow:
A Double Gradient Algorithm to Optimize Regularization.
289-294
- N. P. Bradshaw, Antoine Duchâteau, Hugues Bersini:
Global Least-Squares vs. EM Training for the Gaussian Mixture of Experts.
295-300
- Hilbert J. Kappen, Francisco de Borja Rodríguez Ortiz:
Accelerated Learning in Boltzmann Machines Using Mean Field Theory.
301-306
- Siegfried Bös:
Adaptive Online Learning for Nonstationary Problems.
307-312
- Maissa Aboukassem, Steffen Schwember, Steffen Noehte, Reinhard Männer:
Weight Discretization due to Optical Constraints and Its Influence on the Generalization Abilities of a Simple Perceptron.
313-318
- Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet:
Wavelet Frames Based Estimator.
319-324
- Nasser Mozayyani, Gilles Vaucher:
A Spatio-temporal Perceptron for On-Line Handwritten Character Recognition.
325-330
- Martin Georg Weiß:
Learning Oscillations Using Adaptive Control.
331-336
- Peter Eggenberger:
Creation of Neural Networks Based on Developmental and Evolutionary Principles.
337-342
- Alberto Bertoni, Paola Campadelli, M. Parodi:
A Boosting Algorithm for Regression.
343-348
- Michiaki Taniguchi, Volker Tresp:
Combining Regularized Neural Networks.
349-354
- Stefan M. Rüger:
Making Stochastic Networks Deterministic.
355-360
- Berthold Ruf, Michael Schmitt:
Unsupervised Learning in Networks of Spiking Neurons Using Temporal Coding.
361-366
- Arto Selonen, Jouko Lampinen:
Experiments on Regularizing MLP Models with Background Knowledge.
367-372
- Steffen Gutjahr, Joachim Feist:
Elliptical Basis Function Networks for Classification Tasks.
373-378
- Ingo Galleske, Juan Castellanos:
Probabilistic Neural Networks with Rotated Kernel Functions.
379-384
- Norbert Jankowski, Visakan Kadirkamanathan:
Statistical Control of RBF-like Networks for Classification.
385-390
- Matthias Scherf, Wilfried Brauer:
Improving RBF Networks by the Feature Selection Approach EUBAFES.
391-396
- Ingo Graf, Ulrich Kressel, Jürgen Franke:
Polynominal Classifiers and Support Vector Machines.
397-402
- Masahiro Kimura, Ryohei Nakano:
Unique Representations of Dynamical Systems Produced by Recurrent Neural Networks.
403-408
- Barbara Hammer:
Generalization of Elman Networks.
409-414
- Masumi Ishikawa, Kazuhiko Nishino:
Designing Neural Networks by a Combination of Structural Learning and Genetic Algorithms.
415-420
- Markus Varsta, José del R. Millán, Jukka Heikkonen:
A Recurrent Self-Organizing Map for Temporal Sequence Processing.
421-426
- Peter Stagge, Bernhard Sendhoff:
An Extended Elman Net for Modeling Time Series.
427-432
- Margarita Kuzmina, Eduard A. Manykin, Irina Surina:
Recurrent Associative Memory Network of Nonlinear Coupled Oscillators.
433-438
- Heiko Wersing, Jochen J. Steil, Helge Ritter:
A Layered Recurrent Neural Network for Feature Grouping.
439-444
- Kürt Meert, Jacques Ludik:
A Multilayer Real-Time Recurrent Learning Algorithm for Improved Convergence.
445-450
- Amos J. Storkey:
Increasing the Capacity of a Hopfield Network without Sacrificing Functionality.
451-456
- Hui Wang, David A. Bell:
A Novel Associative Network Accomodating Pattern Deformation.
457-462
- Yves Grandvalet, Stéphane Canu:
Adaptive Noise Injection for Input Variables Relevance Determination.
463-468
- Piërre van de Laar, Stan C. A. M. Gielen, Tom Heskes:
Input Selection with Partial Retraining.
469-474
- Eddy Mayoraz:
On the Complexity of Recognizing Iterated Differences of Polyhedra.
475-480
- Yann Guermeur, Florence d'Alché-Buc, Patrick Gallinari:
Optimal Linear Regression on Classifier Outputs.
481-486
- Régis Quélavoine, Pascal Nocera:
Learning Verification in Multilayer Neural Networks.
487-492
- Oh Jun Kwon, Sung Yang Bang:
Design of a Fault Tolerant Multilayer Perceptron with a Desired Level of Robustness.
493-498
- Perry Moerland:
Mixtures of Experts Estimate A Posteriori Probabilities.
499-504
- Axel Doering, Miroslaw Galicki, Herbert Witte:
Admissibility and Optimality of the Cascade-Correlation Algorithm.
505-510
- N. P. Bradshaw:
The Effective VC Dimension of the n-tuple Classifier.
511-516
Part 4:
Signal Processing:
Blind Source Separation,
Vector Quantization,
and Self-Organization
- Erkki Oja, Juha Karhunen, Aapo Hyvärinen:
From Neural Principal Components to Neural Independent Components.
519-528
- Anisse Taleb, Christian Jutten:
Entropy Optimization - Application to Blind Source Separation.
529-534
- Bert-Uwe Koehler, Te-Won Lee, Reinhold Orglmeister:
Improving the Performance of Infomax Using Statistical Signal Processing Techniques.
535-540
- Petteri Pajunen, Juha Karhunen:
A Maximum Likelihood Approach to Nonlinear Blind Source Separation.
541-546
- Marco Mattavelli, Edoardo Amaldi, Jean-Marc Vesin:
A Perceptron-Based Approach to Piecewise Linear Modeling with an Application to Time Series.
547-552
- Erkki Oja, Kimmo Valkealahti:
Local Independent Component Analysis by the Self-Organizing Map.
553-558
- Georges Linares, Pascal Nocera, Henri Meloni:
Model Breaking Detection Using Independent Component Classifier.
559-564
- Anisoara Paraschiv-Ionescu, Christian Jutten, Gérard Bouvier:
Neural Network Based Processing for Smart Sensors Arrays.
565-570
- Simone Fiori, Aurelio Uncini, Francesco Piazza:
Application of the MEC Network to Principal Component Analysis and Source Separation.
571-576
- Jyrki Joutsensalo:
Semi-Blind Source Parameter Separation.
577-582
- Bernhard Schölkopf, Alex J. Smola, Klaus-Robert Müller:
Kernel Principal Component Analysis.
583-588
- Thiagarajan Balachander, Ravi Kothari, Hernani Cualing:
An Empirical Comparison of Dimensionality Reduction Techniques for Pattern Classification.
589-594
- Jörg Bruske, Gerald Sommer:
Topology Representing Networks for Intrinsic Dimensionality Estimation.
595-600
- Erkki Häkkinen, Pasi Koikkalainen:
SOM Based Visualization in Data Analysis.
601-606
- Gail A. Carpenter, Frank D. M. Wilson:
ARTMAP-DS: Pattern Discrimination by Discounting Similarities.
607-612
- Bernd Fritzke:
A Self-Organizing Network that Can Follow Non-stationary Distributions.
613-618
- Matthias Burger, Thore Graepel, Klaus Obermayer:
Phase Transitions in Soft Topographic Vector Quantization.
619-624
- J. Michael Herrmann, Thomas Villmann:
Vector Quantization by Optimal Neural Gas.
625-630
- Jean-Claude Fort, Gilles Pagès:
Convergences of the Kohonen Maps: A Dynamical System Approach.
631-636
- Jorma Laaksonen:
Local Subspace Classifier.
637-642
- Jean Pierre Delmas:
Asymptotic Distributions Associated to Unsupervised Oja's Learning Equation.
643-648
- Nikos A. Vlassis, Apostolos Dimopoulos, George K. Papakonstantinou:
The Probabilistic Growing Cell Structures Algorithm.
649-654
- Sepp Hochreiter, Jürgen Schmidhuber:
Unsupervised Coding with LOCOCODE.
655-660
- Björn Dobrzewski, D. Ruwish, Mathias Bode:
Wave Propagation in Self-Organizing Feature Maps as a Means for the Representation of Temporal Sequences.
661-666
- Nicolas Pican:
Contextual Kohonen SOM with Orthogonal Weight Estimator Principle.
667-672
Part 5:
Robotics,
Adaptive Autonomous Agents,
and Control
- Helge Ritter:
Self-Organizing Maps for Robot Control.
675-684
- Inman Harvey:
Cognition is Not Computation; Evolution is Not Optimisation.
685-690
- Christian Scheier, Rolf Pfeifer:
Information Theoretic Implications of Embodiment for Neural Network Learning.
691-696
- Jun Tani:
Visual Attention and Learning of a Cognitive Robot.
697-702
- Steffen Egner, Christian Scheier:
Feature Binding Through Temporally Correlated Neural Activity in a Robot Model of Visual Perception.
703-708
- Susanne A. Huber, Heinrich H. Bülthoff:
Modeling Obstacle Avoidance Behavior of Files Using an Adaptive Autonomous Agent.
709-714
- Titus R. Neumann, Susanne A. Huber, Heinrich H. Bülthoff:
Minimalistic Approach to 3D Obstacle Avoidance Behavior from Simulated Evolution.
715-720
- Jari Vaario, Katsunori Shimohara:
Synthesis of Developmental and Evolutionary Modeling of Adaptive Autonomous Agents.
721-726
- Andreas Bühlmeier, P. Steiner, Markus L. Rossmann, Karl Goser, Gerhard Manteuffel:
Hebbian Multilayer Network in a Wheelchair Robot.
727-732
- Stefano Nolfi, Domenico Parisi:
Neural Networks in an Artificial Life Perspective.
733-737
- José del R. Millán:
Incremental Acquisition of Local Networks for the Control of Autonomous Robots.
739-744
- Henrik Hautop Lund:
Robot-Animal Interaction.
745-750
- Hanspeter A. Mallot, Matthias O. Franz, Bernhard Schölkopf, Heinrich H. Bülthoff:
The View-Graph Approach to Visual Navigation and Spatial Memory.
751-756
- Olivier Trullier, Jean-Arcady Meyer:
Place Sequence Learning for Navigation.
757-762
- Aude Billard, Gillian Hayes:
Learning to Communicate Through Imitation in Autonomous Robots.
763-768
- Rafal Salustowicz, Marco Wiering, Jürgen Schmidhuber:
On Learning Soccer Strategies.
769-774
- Kentaro Mizutani, Takashi Omori:
A Model of Logic Like Inference by Memory Model PATON.
775-780
- Nadia Saadia, Yassine Amirat, Jean Pontnaut, Amar Ramdane-Cherif:
Force Feedback Control of an Assembly Robot by Neural Networks.
781-786
- M. Dapper, R. Maass, V. Zahn, Rolf Eckmiller:
Neural Force Control (NFC) for Complex Manipulator Tasks.
787-792
- Thomas Frontzek, Nils Goerke, Rolf Eckmiller:
A Hybrid Path Planning System Combining the A*-Method and RBF-Networks*.
793-798
- Antonio Chella, Salvatore Gaglio, V. Mulia, Giuseppe Sajeva:
An ASSOM Neural Network to Represent Actions Performed by an Autonomous Agent.
799-804
- Ralf Salomon:
The Application of Radial Basis Function Networks with Implicit Continuity Constraints.
805-810
- Giacomo Indiveri, Paul F. M. J. Verschure:
Autonomous Vehicle Guidance Using Analog VLSI Neuromorphic Sensors.
811-816
- V. Ortmann, Rolf Eckmiller:
Neural Network Visual Tracking System.
817-822
- Frank Pasemann:
Pole-Balancing with Different Evolved Neurocontrollers.
823-829
- Igor Kokcharov:
Calibration of Parallel Robots by Evolutionary Algorithm.
831-836
- Ignacy Culeba, Robert Muszynski:
On Use of ANNs to Model and to Control Robot Manipulators.
837-842
- Corinne Ledoux, François Bonnard:
Identification of the Electric Arc of a Furnace.
843-848
- Christina Breining, Gerrit Alt:
On Using MLPs for Step Size Control in Echo Cancellation for Hands-Free Telephone Sets.
849-854
- Habtom W. Ressom, Lothar Litz:
Neurocontrol of Nonlinear Dynamic Systems Subject to Unmeasured Disturbance Inputs.
855-860
- Hugo Zaragoza, Patrick Gallinari:
Multiple Multivariate Regression and Global Optimization in a Large Scale Thermodynamical Application.
861-866
- Xavier Desforges, Abdallah Habbadi:
A Neural Network for Parameter Estimation of a DC Motor for Feed-Drives.
867-872
Part 6:
Speech,
Vision,
and Pattern Recognition
- Hervé Bourlard:
State-of-the-Art and Recent Progress in Hybrid HMM/ANN Speech Recognition.
875-884
- Stephen Grossberg:
Perceptual Grouping and Attention During Cortical Form and Motion Processing.
885-894
- Ladan Shams, Christoph von der Malsburg:
Development of Shape Primitives from Images of Composite Objects Represented by Complex Cells.
895-900
- Rolf P. Würtz, Tino Lourens:
Corner Detection in Color Images by Multiscale Combination of End-Stopped Cortical Cells.
901-906
- Rolf D. Henkel:
Constructing the Cyclopean View.
907-912
- Dietmar Heinke, Glyn W. Humphreys:
SAIM: A Model of Visual Attention and Neglect.
913-918
- Fred Henrik Hamker, Horst-Michael Gross:
Object Selection with Dynamic Neural Maps.
919-924
- Fan Yang, Michel Paindavoine, Hervé Abdi:
A Pre-Processing Technique Based on the Wavelet Transform for Linear Autoassociators with Applications to Face Recognition.
925-930
- Kunihiko Fukushima, Hideki Hashimoto:
Recognition and Segmentation of Components of a Face by a Multi-Resolution Neural Network.
931-936
- Erol Gelenbe, Taskin Koçak, Leslie Collins:
Sensor Fusion for Mine Detection with the RNN.
937-942
- Toshifumi Fujita, Hiroshi Ando:
Image Segmentation for 3D Object Recognition Using Bidirectional Networks.
943-948
- S. Winkler, Patrick Wunsch, Gerd Hirzinger:
A Feature Map Approach to Pose Estimation Based on Quaternions.
949-954
- Axel Christian Varchmin, Robert Rae, Helge Ritter:
Facial Feature Detection Using Neural Networks.
955-960
- Hakan Bakircioglu, Erol Gelenbe, Larry Carin:
Random Neural Network Recognition of Shaped Objects in Strong Clutter.
961-966
- Holger Schwenk, Yoshua Bengio:
AdaBoosting Neural Networks: Application to on-line Character Recognition.
967-972
- Urs-Viktor Marti, Guido Kaufmann, Horst Bunke:
Cursive Script Recognition with Time Delay Neural Networks Using Learning Hints.
973-978
Part 7:
Prediction,
Forecasting,
and Monitoring
- Eric de Bodt, Philippe Grégoire, Marie Cottrell:
A Powerful Tool for Fitting and Forecasting Deterministic and Stochastic Processes: The Kohonen Classification.
981-986
- Morgan Mangeas:
Neural Model Selection: How to Determine the Fittest Criterion?
987-992
- Marie Cottrell, Bernard Girard, Patrick Rousset:
Long Term Forecasting by Combining Kohonen Algorithm and Standard Prevision.
993-998
- Klaus-Robert Müller, Alex J. Smola, Gunnar Rätsch, Bernhard Schölkopf, Jens Kohlmorgen, Vladimir Vapnik:
Predicting Time Series with Support Vector Machines.
999-1004
- Thomas Burg, Nadine N. Tschichold-Gürman:
An Extended Neuron Model for Efficient Time-Series Generation and Prediction.
1005-1010
- Myriam Monteyne, Tristan Salomé, Françoise de Viron, Jean-Michel Renders, Pierre Doulliez, François Dongier, Jean Claus:
Different Model Types for Short-Term Forecasting of Characteristic Load Points.
1011-1016
- José Nuno Fidalgo, Manuel A. Matos, Maria Teresa de Ponce Leão:
Assessing Error Bars in Distribution Load Curve Estimation.
1017-1022
- Thomas Ragg, Steffen Gutjahr:
Building High Performant Classifiers by Integrating Bayesian Learning, Mutual Information and Committee Techniques - A Case Study in Time Series Prediction.
1023-1028
- Thomas Czernichow, Antonio Muñoz:
A Probability Estimation Based Criteria for Model Evaluation.
1029-1034
- Francesco Camastra, Anna Maria Colla:
Short-Term Load Forecasting Based on Correlation Dimension Estimation and Neural Nets.
1035-1040
- Thierry Lenez, Bernadette Dorizzi:
Predictive Neural Models in Noisy Environment.
1041-1046
- Ashraf A. M. Khalaf, Kenji Nakayama, Kazuyuki Hara:
A Neural-FIR Predictor: Minimum Size Estimation Based on Nonlinearity Analysis of Input Sequence.
1047-1052
- Dirk Husmeier, John G. Taylor:
Modeling Conditional Probabilities with Committees of RVFL Networks.
1053-1058
- Bernhard Sick:
Classifying the Wear of Turning Tools with Neural Networks.
1059-1064
- Yves Moreau, Herman Verrelst, Joos Vandewalle:
Detection of Mobile Phone Fraud Using Supervised Neural Networks: A First Prototype.
1065-1070
- Arto Visala, Hannu Pitkänen, Aarne Halme:
Wiener Type SOM- and MLP-classifiers for Recognition of Dynamic Modes.
1071-1076
- Jens Kohlmorgen, Klaus-Robert Müller, J. Rittweger, Klaus Pawelzik:
Analysis of Wake/Sleep EEG with Competing Experts.
1077-1082
- Rosaria Silipo, Gustavo Deco, Rossano Vergassola, Christian Schittenkopf, Celio Gremigni:
Nonlinear Modelling of the Daily Heart Rhythm.
1083-1088
- Younès Bennani, Fabrice Bossaert, Elisabeth Didelet:
Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis in Real-Time Telephone Network Traffic Management.
1089-1094
- Olivier Gérard, Jean-Noël Patillon, Florence d'Alché-Buc:
Neural Network Adaptive Modeling of Battery Discharge Behavior.
1095-1100
- Rainer Müller:
Neural Combustion Control.
1101-1106
- Yasmine Assef, Patrick Bastard, Michel Meunier:
A Neural Network Based Fault Detector for Power Distribution Systems.
1107-1112
- Edmund Handschin, Dietmar Kuhlmann, Christian Rehtanz:
Visualization and Analysis of Voltage Stability Using Self-Organizing Neural Networks.
1113-1118
- J. Ambühl, D. Cattani, P. Eckert:
Classification of Meteorological Patterns.
1119-1124
- Mikhail F. Kanevski, Vasiliy V. Demyanov, Michel Maignan:
Mapping of Soil Contamination by Using Artificial Neural Networks and Multivariate Geostatistics.
1125-1130
Part 8:
Implementations
- Eric A. Vittoz:
Pseudo-Resistive Networks and their Applications to Analog Collective Computation.
1133-1150
- Tamás Roska:
Implementation of CNN Computing Technology.
1151-1155
- Tzi-Dar Chiueh, Linkai Bu:
Implementation of a Masking Network for Speech Perception.
1157-1162
- Rainer A. Deutschmann, Charles M. Higgins, Christof Koch:
Real-Time Analog VLSI Sensors for 2-D Direction of Motion.
1163-1168
- Chang-Han Yi, Robert Schlabbach, Holger Kroth, Heinrich Klar:
An Improved Multiplexed Resistive Network for Analog Image Preprocessing.
1169-1174
- Giacomo M. Bisio, Gian Marco Bo, M. Confalone, Luigi Raffo, Silvio P. Sabatini, M. P. Zizola:
An Analog VLSI Computational Engine for Early Vision Tasks.
1175-1180
- Michael Becker, Rolf Eckmiller:
Spatio-temporal Filter Adjustment from Evaluative Feedback for a Retina Implant.
1181-1186
- Axel Jahnke, Tim Schönauer, Ulrich Roth, K. Mohraz, Heinrich Klar:
Simulation of Spiking Neural Networks on Different Hardware Platforms.
1187-1192
- Tadeusz Lobos, Andrzej Cichocki, Pawel Kostyla, Zbigniew Waclawek:
Adaptive On-line Learing Algorithm for Robust Estimation of Parameters of Noisy Sinusoidal Signals.
1193-1198
- Juan Manuel Moreno, Jordi Madrenas, Eduard Alarcón, Joan Cabestany:
Analog Sequential Architecture for Neuro-Fuzzy Models VLSI Implementation.
1199-1204
- M. Oláh, P. Masa, András Lörincz:
A Mixed-Signal VLSI Circuit for Skeletonization by Grassfire Transformation.
1205-1210
- Jean-Denis Muller, Ph. Cheynet, Raoul Velazco:
Analysis and Improvement of Neural Network Robustness for On-Board Satellite Image Processing.
1211-1216
- Ulrich Roth, Axel Jahnke, Heinrich Klar:
On-Line Hebbian Learning for Spiking Neurons: Architecture of the Weight-Unit of NESPINN.
1217-1222
- Eduard Säckinger:
Measurement of Finite-Precision Effects in Handwriting- and Speech-Recognition Algorithms.
1223-1228
- Daniela Baratta, Gian Marco Bo, Daniele D. Caviglia, Maurizio Valle, Giovanni Canepa, Riccardo Parenti, Carla Penno:
A Hardware Implementation of Hierarchical Neural Networks for Real-Time Quality Contol Systems in Industrial Applications.
1229-1234
- Thomas Fischer, Wolfgang Eppler, Hartmut Gemmeke, Gerd Kock, Thomas Becher:
The SAND Neurochip and Its Embedding in the MiND System.
1235-1240
- Markus L. Rossmann, Andreas Bühlmeier, Gerhard Manteuffel, Karl Goser:
Short- and Long-Term Dynamics in a Stochastic Pulse Stream Neuron Implemented in FPGA.
1241-1246
- Andrés Pérez-Uribe, Eduardo Sanchez:
FPGA Implementation of a Network of Neuronlike Adaptive Elements.
1247-1252
- I. Saxena, P. Moerland, Emile Fiesler, A. Pourzand:
Handwritten Digit Recognition with Binary Optical Perceptron.
1253-1258
- Pasi Kolinummi, Timo Hämäläinen, Jukka Saarinen:
Mapping of Radial Basis Function Networks to Partial Tree Shape Parallel Neurocomputer.
1259-1264
- Paolo Del Giudice, Stefano Fusi:
Attractor Dynamics in an Electronic Neural Network.
1265-1270
Copyright © Tue Feb 9 19:28:14 2010
by Michael Ley (ley@uni-trier.de)
