ICANN 98 : Proceedings of the 8th International Conference on Artificial Neural Networks, Skövde, Sweden, 2–4 September 1998

ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society which started in Helsinki in 1991. Since then ICANN has taken place in Brighton, Amsterdam, Sorrento, Paris, Bochum and Lausanne, and has become Europe's major meeting in the field of neural networks. This book contains the proceedings of ICANN 98, held 2-4 September 1998 in Skovde, Sweden. Of 340 submissions to ICANN 98, 180 were accepted for publication and presentation at the conference. In addition, this book contains seven invited papers presented at the conference. A conference of this size is obviously not organized by three individuals alone. We therefore would like to thank the following people and organizations for supporting ICANN 98 in one way or another: • the European Neural Network Society and the Swedish Neural Network Society for their active support in the organization of this conference, • the Programme Committee and all reviewers for the hard and timely work that was required to produce more than 900 reviews during April 1998, • the Steering Committee which met in Skovde in May 1998 for the final selection of papers and the preparation of the conference program, • the other Module Chairs: Bengt Asker (Industry and Research), Harald Brandt (Applications), Anders Lansner (Computational Neuroscience and Brain Theory), Thorsteinn Rognvaldsson (Theory), Noel Sharkey (co­ chair Autonomous Robotics and Adaptive Behavior), Bertil Svensson (Hardware and Implementations), • the conference secretary, Leila Khammari, and the rest of the Front Matter....Pages I-XIV Front Matter....Pages 1-1 (Back) Towards Diagrammatic Representation and Reasoning in a Connectionist Framework (Extended Abstract)....Pages 3-12 Variational Learning in Graphical Models and Neural Networks....Pages 13-22 Synchronization: The Computational Currency of Cognition....Pages 23-40 Applications of Vapnik’s Theory for Prediction....Pages 41-50 Brains, Gases and Robots....Pages 51-63 Self-Organization of Very Large Document Collections: State of the Art....Pages 65-74 Silicon Artificial Neural Networks....Pages 75-84 Front Matter....Pages 85-85 Efficient Top-Down Jacobian Evaluation of Tree-Structured Neural Networks....Pages 87-92 Tractable Undirected Approximations for Graphical Models....Pages 93-98 Convex Cost Functions for Support Vector Regression....Pages 99-104 Asymptotically Optimal Choice of ε-Loss for Support Vector Machines....Pages 105-110 Support Vector Regression with Automatic Accuracy Control....Pages 111-116 Queuing theory for spike driven synaptic dynamics....Pages 117-122 The Deformable Feature Map — Adaptive Plasticity for Function Approximation....Pages 123-128 Asymptotic Behavior of a Neural Network with Dynamic External Input....Pages 129-134 Independent Component Analysis for Time-dependent Stochastic Processes....Pages 135-140 Denoising of Sensory Data by Maximum Likelihood Estimation of Sparse Components....Pages 141-146 Kernel PCA Pattern Reconstruction via Approximate Pre-Images....Pages 147-152 The Pearson Mixture Model for Cluster Analysis and Data Visualisation....Pages 153-158 Why feed-forward networks are in a bad shape....Pages 159-164 Front Matter....Pages 85-85 Transients and Asymptotics of Natural Gradient Learning....Pages 165-170 An Analysis of Convergence in Generalized LVQ....Pages 171-176 Ultrametric Structure in Autoencoder Error Surfaces....Pages 177-182 The Dynamics of Matrix Momentum....Pages 183-188 Dynamics of Batch Learning in Multilayer Neural Networks....Pages 189-194 An asymptotic analysis of AdaBoost in the binary classification case....Pages 195-200 Least Absolute Shrinkage is Equivalent to Quadratic Penalization....Pages 201-206 Front Matter....Pages 207-207 Neural Network Modelling of Ore Grade Spatial Variability....Pages 209-214 Neural Virtual Sensors — Estimation of Combustion Quality in SI Engines using the Spark Plug....Pages 215-220 Real-time ion temperature profiles in the JET nuclear fusion experiment....Pages 221-226 Detection of Spatio-Temporal Ultrasonic Transient Families Using Filter Banks and Neural Nets....Pages 227-232 Object Recognition with Multiple Feature Types....Pages 233-238 Learning Gestures with Time-Delay RBF Networks....Pages 239-244 Comparison of Adaptive Strategies for On-Line Character Recognition....Pages 245-250 A Binary Correlation Matrix Memory k -NN Classifier....Pages 251-256 Multinet: A New Connectionist Architecture for Speech Recognition....Pages 257-262 Simulation Support and ATM Performance Prediction....Pages 263-268 TDNN Approach to Measuring Raindrop Sizes and Velocities....Pages 269-274 Optimizing the Evidence....Pages 275-280 Adapting an Ensemble Approach for the Diagnosis of Breast Cancer....Pages 281-286 Front Matter....Pages 207-207 Independent Component Analysis in Wave Decomposition of Auditory Evoked Fields....Pages 287-292 Experiments in Gait Pattern Classification with Neural Networks of Adaptive Architecture....Pages 293-298 Using Feature Selection to Find Inputs that Work Better as Extra Outputs....Pages 299-304 Analysis of Multi-Choice Questionnaires through Self-Organizing Maps....Pages 305-310 A Niching Genetic Algorithm for Selecting Features for Neural Network Classifiers....Pages 311-316 The Wavelet Transform for Time Series Prediction....Pages 317-322 Empirical Evaluation of Bayesian Sampling for Neural Classifiers....Pages 323-328 Front Matter....Pages 329-329 State-dependent Spatio-temporal Restructuring of Receptive Fields in the Primary Visual Pathway....Pages 331-336 Frequency Spectrum of Coupled Stochastic Neurons with Refractoriness....Pages 337-342 Analysing the Context Dependence of Receptive Fields in Visual Cortex....Pages 343-348 A Neural Model of Stereopsis....Pages 349-354 Continuous Dynamics of Neuronal Delay Adaptation....Pages 355-360 The Critical Synaptic Number for Rhythmogenesis and Synchronization in a Network Model of the Cerebellar Granular Layer....Pages 361-366 A Model of Cortical Plasticity: Integration and Segregation based on Temporal Input Patterns....Pages 367-372 Self-Organisation and Cortical Dynamics....Pages 373-378 Front Matter....Pages 379-379 Continuous Time Recurrent Neural Networks for Grammatical Induction....Pages 381-386 Encoding Structure in Boolean Space....Pages 387-392 Non-compositional Representation in Connectionist Networks....Pages 393-398 A connectionist model for categorical perception and symbol grounding....Pages 399-404 Enriched lexical representations, large corpora, and the performance of SRNs....Pages 405-410 Front Matter....Pages 411-411 Using Focus to Direct Environmental Mapping....Pages 413-418 A biologically inspired adaptive control architecture based on neural networks for a four-legged walking machine....Pages 419-424 2-D Pole Balancing with Recurrent Evolutionary Networks....Pages 425-430 GripSee: A Robot for Visually-Guided Grasping....Pages 431-436 Dynamics of a Classical Conditioning Model....Pages 437-442 CMAC Models Learn to Play Soccer....Pages 443-448 Pseudo-Parametric Q-Learning using Feedforward Neural Networks....Pages 449-454 Continuous Q-Learning Resource Allocation Network....Pages 455-460 Front Matter....Pages 461-461 Sparse Distributed Memory Mapping on Partial Tree Shape Neurocomputer....Pages 463-468 PRESENCE, a hardware implementation of binary neural networks....Pages 469-474 Analog VLSI implementation of a spike driven stochastic dynamical synapse....Pages 475-480 Neural Dynamics in Real-Time for Large Scale Biomorphic Neural Networks....Pages 481-486 Front Matter....Pages 491-491 A Study on Functional-Link Neural Units with Maximum Entropy Response....Pages 493-498 Mean Field Theory based on Belief Networks for Approximate Inference....Pages 499-504 On the Use of Local RBF Networks to Approximate Multivalued Functions and Relations....Pages 505-510 Learning Higher Order Boltzmann Machines using Linear Response....Pages 511-516 Order Parameters for Self-Organizing Maps....Pages 517-522 Slope Centering: Making Shortcut Weights Effective....Pages 523-528 Constrained Second-Order Recurrent Networks for Finite-State Automata Induction....Pages 529-534 Exact Learning Curves for EKF Training....Pages 535-540 Front Matter....Pages 491-491 Sparse Regression: Utilizing the Higher-order Structure of Data for Prediction....Pages 541-546 A Linear Programming Neural Circuit Model....Pages 547-553 Learning Invariance Manifolds....Pages 555-560 Developmental Evolution of an Edge Detecting Retina....Pages 561-566 Activity Driven Update in the Neural Abstraction Pyramid....Pages 567-572 Jacobian Neural Network Learning Algorithms....Pages 573-578 Quadratic Concepts....Pages 579-584 Complexity of Boolean Computations for a Spiking Neuron....Pages 585-590 Unsupervised Time Series Segmentation by Predictive Modular Neural Networks....Pages 591-596 ICE — an Incremental Hybrid System for Continuous Learning....Pages 597-602 Synthesis of Probabilistic Automata in p RAM Neural Networks....Pages 603-608 Neural Modeling of Nonlinear Differential Equations with Discrete Measurements A Lagrangian Approach....Pages 609-614 Simple Synchrony Networks : Learning to Parse Natural Language with Temporal Synchrony Variable Binding....Pages 615-620 Gaussian Processes for Switching Regimes....Pages 621-626 Artificial Neural Networks as Approximators of Stochastic Processes....Pages 627-632 Piecewise Affine Neural Networks and Nonlinear Control....Pages 633-638 Some Complexity Results for Perceptron Networks....Pages 639-644 Multilayer Neural Networks for Classification: A Pedagogical Theorem....Pages 645-650 An Experimental Comparison of Neural ICA Algorithms....Pages 651-656 The Principal Independent Components of Images....Pages 657-662 Front Matter....Pages 491-491 Pattern Formation in Locally Connected Oscillatory Networks....Pages 663-668 LOCOCODE versus PCA and ICA....Pages 669-674 TDSEP — an efficient algorithm for blind separation using time structure....Pages 675-680 Optimal Cross-Validation Split Ratio: Experimental Investigation....Pages 681-686 On the Convergence Properties of the Temporal Kohonen Map and the Recurrent Self-Organizing Map....Pages 687-692 Multivariate Linear Regression on Classifier Outputs: a Capacity Study....Pages 693-698 Front Matter....Pages 699-699 Automated Statistical Recognition of Partial Discharges in Insulation Systems....Pages 701-706 A Radar System with Phase-Sensitive Millimetric Wave Circuitry and Complex-Amplitude Neural Processing....Pages 707-712 Chances and Risks of Sensor Fusion with Neural Networks: An Application Example....Pages 713-718 Support objects for domain approximation....Pages 719-724 A Comparison of Traditional and Soft-Computing Methods in a Real-Time Control Application....Pages 725-730 Efficient Local Subspace Construction for Neural Data Modeling....Pages 731-736 Edge Detection of Multispectral Images Using the 1-D Self-Organizing Map....Pages 737-742 Design of Cellular Neural Networks for Binary and Gray Level Image Processing....Pages 743-748 Adaptive Illuminant Estimation Using Neural Networks....Pages 749-754 Automatic neural generalized font identification....Pages 755-760 An Approach to Blind Source Separation of Speech Signals....Pages 761-766 Data Fusion for Diagnosis in a Telecommunication Network....Pages 767-772 Creating an Order in Distributed Digital Libraries by Integrating Independent Self-Organizing Maps....Pages 773-778 Competitive Learning for Binary Valued Data....Pages 779-784 Front Matter....Pages 699-699 Neural Network-Based Inferential Sensing....Pages 785-790 Retina Encoder Inversion for Retina Implant Simulation....Pages 791-796 The Automated Identification of Tubercle Bacilli using Image Processing and Neural Computing Techniques....Pages 797-802 Black-Box Software Sensor Design for Environmental Monitoring....Pages 803-808 Classifying Regional Seismic Signals Using TDDN-alike Neural Networks....Pages 809-814 A hierarchical self-organizing map model for sequence recognition....Pages 815-820 Discrete Time Backpropagation and Synaptic Delay Based Artificial Neural Networks in Chaotic Time Series Prediction....Pages 821-826 A Learning Method of Fuzzy Inference Rules Using Vector Quantization....Pages 827-832 Mixed Fuzzy-system and Artificial Neural Network Approach to the Automated Recognition of Mouth Expressions....Pages 833-838 COMVIS: A communication framework for computer vision....Pages 839-844 Implementing a Hybrid Architecture for Artificial Neural Network Applications....Pages 845-850 Application of ANN to the Selection of a Valve from the Catalogue....Pages 851-856 A Neural Network Approach to Functional MRI Pattern Analysis — Clustering of Time-Series by Hierarchical Vector Quantization....Pages 857-862 Penalized Training for Serially Correlated Data....Pages 863-868 Gaussian Mixture and Kernel Based Approaches to Blind Separation of Sources Using Neural Nets....Pages 869-874 The Adaptive Setback Thermostat....Pages 875-880 Architecture Optimization in Feedforward Connectionist Models....Pages 881-886 Neural Velocity Force Control for Industrial Manipulators Contacting Rigid Surfaces....Pages 887-892 Neural Trajectory Optimization (NTO) for Manipulator Tracking of Unknown Surfaces....Pages 893-898 Computer Network User Behaviour Visualisation Using Self Organising Maps....Pages 899-904 Front Matter....Pages 699-699 Neural Control of a Virtual Prosthesis....Pages 905-910 Adaptive Clustering and Multidimensional Scaling of Large and Highdimensional Data Sets....Pages 911-916 Behavior of the Weights of a Support Vector Machine as a function of the Regularization Parameter C ....Pages 917-922 Convergence Properties of a Modified Temporal Anti-Hebbian Model....Pages 923-928 Volatility Prediction with Mixture Density Networks....Pages 929-934 Introducing a Clustering Technique into Recurrent Neural Networks for Solving Large-Scale Traveling Salesman Problems....Pages 935-940 Front Matter....Pages 941-941 Comparing Different Measures of Spatio-Temporal Patterns in Neural Activity....Pages 943-948 Influence of Recurrent Excitation and Inhibition on Receptive Field Size and Contrast Sensitivity in Layer 4C of Macaque Striate Cortex....Pages 949-954 Self-Organization of Shift-Invariant Receptive Fields through Pre- and Post-Synaptic Competition....Pages 955-960 A Cortical Interpretation of ASSOMs....Pages 961-966 Decoding Population Responses in Short Epochs....Pages 967-972 Modeling Reward Dependent Activity Pattern of Caudate Neurons....Pages 973-978 Neural Signalling: It’s a Gas!....Pages 979-984 Fast Learning of Dynamic Compensation in Motor Control....Pages 985-990 A One-dimensional Frequency Map Implemented using a Network of Integrate-and-fire Neurons....Pages 991-996 The role of spatio-temporal neural response characteristics in the formation of synchrony....Pages 997-1002 Three-Layered Neural Model between Cortical areas V1 and IT....Pages 1003-1008 An Interruptible Connectionist Model for Real-Time Pattern Recognition....Pages 1009-1013 Implementation of Tunable Receptive Field (RF) Filters for Learning Retina Implants....Pages 1015-1020 Rate and Temporal Coding with a Neural Oscillator....Pages 1021-1026 Front Matter....Pages 941-941 Phase Transitions in Even Cyclic Inhibitory Networks....Pages 1027-1032 The Basal Ganglia viewed as an Action Selection Device....Pages 1033-1038 Parameters Estimation in the Diffusion Model for Multidimensional Neural Data....Pages 1039-1044 Asynchronous simulation of large networks of spiking neurons and dynamical synapses....Pages 1045-1050 Novelty Learning in a Discrete Time Chaotic Network....Pages 1051-1056 Spike-Based Hebbian Learning for Stimulus Discrimination....Pages 1057-1062 Front Matter....Pages 1063-1063 What Type of Finite Computations Do Recurrent Neural Networks Perform?....Pages 1065-1070 Statistical Estimation in Conceptual Spaces....Pages 1071-1076 A Connectionist account of Spanish determiner production....Pages 1077-1082 Learning Decompositional Structures in a Network of Max-Π Units with Exponents as Connection Strengths....Pages 1083-1088 Fuzzy Heterogeneous Neural Networks for Signal Forecasting....Pages 1089-1094 Front Matter....Pages 1095-1095 Behavioural Coordination in Acoustically Coupled Agents....Pages 1097-1102 Self-Localization by Hidden Representations....Pages 1103-1108 Reinforcement Learning of Collision-free Motions for a Robot Arm with a Sensing Skin....Pages 1109-1114 Multitask Pattern Recognition for Vision-Based Autonomous Robots....Pages 1115-1120 Three Principles of Hierarchical Task Composition in Reinforcement Learning....Pages 1121-1126 On-line EM Algorithm and Reinforcement Learning....Pages 1127-1132 Embedding Knowledge in Reinforcement Learning....Pages 1133-1138 Multistage STM in a Multilayer Hebbian Learning Architecture for Local Navigation....Pages 1139-1144 Diploid Robots Adapting to Fast Changing Environments....Pages 1145-1150 Front Matter....Pages 1095-1095 Dynamical Adaptation of a Neural-Net Based Agent....Pages 1151-1156 Front Matter....Pages 1157-1157 A Reconfigurable Neuroprocessor with On-chip Pruning....Pages 1159-1164 Laser Neural Network Demonstrates Data Switching Functions....Pages 1165-1170 A New Stochastic Learning Algorithm for Analog Hardware Implementation....Pages 1171-1176 An Analog Neural Signal Processor for Embedded Applications....Pages 1177-1182 The NeuroAccess System....Pages 1183-1188 Recognizing Handwritten Digits with a Dedicated Analog VLSI Feature Extractor....Pages 1189-1194 Back Matter....Pages 1195-1198

These volumes contain the papers presented at ICANN 8, the 8th International Conference on Artificial Neural Networks, Skvvde, Sweden, 2-4 September 1998. This is a highly interdisciplinary meeting, covering all aspects of Artificial Neural Network (ANN) related research. It includes papers from leading researchers in Europe, the USA and Japan. It will be of interest to anyone working in the theory / mathematics of ANN modelling and its use in the following areas: neuroscience, brain theory, cognitive science, artificial intelligence, computational intelligence, machine learning, robotics, autonomous agents, and adaptive behaviour modelling. It will also provide valuable reading material for industrial developers, engineers and researchers using ANNs in application areas such as financial forecasting, signal processing, control, industrial robotics, computer vision, image processing and related areas of engineering. '