NC'98

• Keynote Papers
  • Spiking Neurons
    W. Maass
  • Models of Visual Awareness in a Multi-Module Neural Networks
    I. Aleksander, B. Dunmall
• Tutorial Papers
  • Approximation of Functions by Neural Networks
    V. Kurková
  • 2D Neural Hardware versus 3D Biological Ones
    V. Beiu
  • Neuro Fuzzy Systems
    H.H. Bothe
• CMAC
  • Fuzzy Rules Induction with Associative Memory Networks
    B. Li, D. Elliman
  • Weightless Neural Networks for Pattern Recognition: A Comparison of Different Methods for Processing ‘Grey-level data’
    S. Lauria, R. Mitchell, S.Nasuto
  • Higher Order CMAC and its Efficient Hardware Realization
    G. Horváth, T. Szabó
  • Kernels for Morphological Associative Memories
    P. Sussner
• Spiking Neurons
  • An Analog VLSI Integrate-and-Fire Neural Network for Sound Segmentation
    M. A. Glover, A. Hamilton, L. S. Smith
  • Necker Cube Cognitive Interpretation in a Pulse Neural Network with Fluctuation
    K. Itano, H. Sakamoto
  • Distributed, Event Driven Simulation of Spiking Neural Networks
    C. Grassmann, J. K. Anlauf
• Self Organizing
  • The Decrease of Fuzzy Label Number Using Self-organization Competition Network
    S. Cong, G. Wu, G. Li
  • Construction of Hierarchical Neural Classifers by Self-Organizing Error Back-Propagation
    S. A. Dolenko, Y. V. Orlov, I. G. Persiantsev, J. S. Shugai
  • StatSOM: Statistical Self-Organizing Map E. Germen, S. Bilgen
  • Fast Self-Growing and Self-Organizing Feature Map using Automatic Learning Parameters
    K. Haese
  • Evolutionary Algorithms with Self-Organizing Population Dynamic for Clustering of Categories in Psychotherapy Research Using Large Clinical Data Sets
    T. Villmann, A. Körner, C. Albani
  • Simulating the Information Processing Associated with Human Consciousness in a Bilateral Neural Network: "Nuclear" and "Fringe" Awareness
    N. D. Cook
  • A Error-oriented Self-organizing Neural Network for Identification of a Processing Unit
    Y. Wu, C. Döschner
• Genetic Algorithms
  • Simple Inversion Genetic Algorithm: An Effective Optimization Strategy
    C. Munteanu, V. Lazarescu
  • Parallel Adaptive Genetic Algorithm
    L. Budin, M. Golub, D. Jakobovic
  • How Real-valued Random Synapses Evolve Toward Symmetry with Diploid Chromosomes?
    A. Imada, K. Araki
  • An Evolutionary Method for System Structure Identification Using Neural Networks
    S. D. Likothanassis, E. F. Georgopoulos, G. D. Manioudakis, A. V. Adamopoulos
  • Solving the Packing Problem with Genetic Algorithms
    A. Gómez Gómez, D. de la Fuente Garcia, J. Puente Garcia
  • A Genetic-Based Filter for Mode Detection
    A. El Ouaazizi, H. Benkirane, R. Benslimane, J. G. Postaire
• Fuzzy
  • Structural Analysis of Rule Bases of Fuzzy Units
    R. Strietzel
  • Neural Networks in Proposal of Fuzzy Logic Connectives
    G. Andrejková
  • A Simple, Hybrid Approach to Classification, Based on Fuzzy Sets and Categorical Statistics, Suitable for Spreadsheets
    J. C. Reynolds
  • An Adaptive Neurofuzzy Architecture and its Application
    P. Fu, A. D. Hope, G. A. King
• Classificiation
  • A New Neural Network System for Arrhythmia’s Classification
    N. Izeboudjen, A. Farah
  • Auditory Stimulus Discrimination from MEG Data
    T. Lukka, B. Schoner, A. Marantz
  • Sensor Failure Detection and Signal Reconstruction using Autoassociative Neural Networks
    T. J. Boehme, I. Fletcher, C. S. Cox
  • Experience with Voting Neural Networks for Multi-spectral Image Classification
    P. Sincák, P. Popovec, R. Jaksa, H. Veregin
  • Decision Trees of Modular Neural Networks
    M. S. Pakianather, P. R. Drake, M. K. Kidwai, N. Naji
• Pattern Recognition
  • Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors
    K. Fukushima, E. Kimura, H. Shouno
  • Robust Vector Quantization by MDL
    H. Bischof, A. Leonardis
  • An Intelligent Hybrid System Approach to Aid Process Operators
    A. C. B. Ramos, A. M. da Cunha
  • Time Complexity Analysis of the Stochastic Diffusion Search
    S. J. Nasuto, M. J. Bishop, S. Lauria
  • Texture Segmentation by Biologically-Inspired Use of Neural Networks and Mathematical Morphology
    M. Köppen, J. Ruiz-del-Solar, P. Soille
  • On-Line Hangul Character Recognition Using Multiple Neural Networks
    H. Cho, K. Ohmori
  • Electronic Fruit Grading using Neural Networks for Real Time Pattern Recognition
    J. Seager
  • The Q-Transformation Method Applying to the Facial Images Normalization
    V. P. Kozhemyako, Y. F. Kutaev, L. I. Timchenko, S. V. Chepornyuk, R. R. Hamdi, A. A. Gertsiy, I. D. Ivasyuk
  • The Unit RBF Network: Experiments and Preliminary Results
    P. G. Anderson
• Object Recognition
  • Object Identification on Airports Using Radial Basis Function Networks
    K. Haese, C. Meier
  • Cellular Neural Networks for Complex Object Recognition
    M. Milanova, U. Büker
  • Tirano System with Learning Capacity for the Detection of Moving Targets
    M. A. Fernandez, A. Fernandez Caballero, J. Moreno, G. Sebastian
• Energy
  • A Very Short-term Maximal Demand Forecasting and Control using RBF Neural Networks
    P. A. González Lanza
  • Short-term Electrical Load Forecasting in Transformation Period (Case Study)
    J. S. Zielinski, W. Bardzki, W. Bartkiewicz, Z. Gontar
  • Supervision of Wind Energy Converters by an Autoassociator Neural Network
    R. Bertrand, N. Elhor, D. Hamad, J. G. Postaire
  • Progressive Learning Neural Networks Applied to Solve Wide Electrical Power Systems
    A. Augugliaro, V. Cataliotti, L. Dusonchet, S. Favuzza, G. Scaccianoce
  • Neuro-Fuzzy Load Forecasting
    B. Novak
• Economy
  • Forecasting Financial Markets Utilizing Artificial Neural Networks and Genetic Algorithms
    M. Kührer, W. Reinisch
• Medicine
  • Classification of Sleep Apnea Events by Means of Radial Basis Function Networks
    T. Zemen, M. Clabian, H. Pfützner
  • Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks
    A. Alonso-Betanzos, O. Fontenla-Romero, B. Guijarro-Berdińas, O. Fernández-Chaves, J. Carlos Principe
  • Time-of-Reduction-Recovery Predicton in Neural Networks of Variable Topology to Improve Enzyme Classification
    Y. Kuhara, K. Shimizu, J. Doi
  • Automatic Segmentation of MRT images using a hybrid Neural Network - image matching approach
    F. Tafill, M. Budil, C. Kremser, M. Schocke, F. Aichner
  • ECG Identification Using Self-Organising Maps
    R. Barea, L. Boquete, R. García, M. Mazo, E. López, M. Escudero, F. J. Rodríguez
  • Neuro-Fuzzy Approach to Detection of Emergency States in Neurosurgical Patients
    M. Swiercz, Z. Mariak, J. Lewko
• Biometric
  • Automatic Lipreading using Neural Networks
    G. Rabi, S. Wei Lu
  • Personal Verification with Palm Print and Hand Shape by Utilizing Neural Network Network Techniques
    T. Nagano, Y. Hirai
• Estimation
  • Application of Hopfield Neural Networks to State Estimation
    F. Garcia-Lagos, G. Joya, F. J. Marín, F. Sandoval
  • Simultaneous Estimation of Signal and Noise in the Constructive Neural Networks
    S. Hosseini, C. Jutten
• Chaos
  • Chaos as a Desirable Stable State of Artificial Neural Networks
    T. olde Scheper, N. Crook, C. Dobbyn
  • An Addition to Backpropagation for Computing Functional Roots
    L. Kindermann
  • Visual Programming Environment for Nonlinear Dynamical Systems Analysis
    Z. Vanjak, L. Budin
• Signal Processing
  • Estimation and Extraction of Unstable Frequency Lines of Acoustic Signal Using Neural Network
    S.-W. Ha, S.-E. Lee, S.-B. Hwang, J.-C. Kim
  • Neural Network Based Nonlinear Feature Extraction of Head-Related Transfer Function (HRTF) Data in 3-D Sound Processing
    S. Suh, K. Kim, H. Lee, H. Kim
  • A Variable Step (VS) Learning Algorithm for Blind Source Separation (BSS)
    M. O. Pun, Y. Hirai
  • Analog Neural Networks for Linear Predictive Coding
    F. L. Luo, R. Unbehauen, T. Ndjountche
  • Spotting Arabic Phonetic Features Using Modular Connectionist Architectures and a Rule-Based System
    S. A. Selouani, J. Caelen
• Neural Aided Object Recognition
  • Neural-Based Object Recognition Support: From Classical Preprocessing to Space-Variant Sensing
    R. Tadeusiewicz, Z. Mikrut
  • Recognition of Complex Objects with an Active Vision System
    B. Mertsching, M. Bollmann, A. Massad, S. Schmalz
  • A Structured Neural Network for Shift and Rotation Invariant Pattern Recognition
    S. Kröner, H. Burkhardt
  • Invariant Edge Detection and Tracing
    P. S. Szczepaniak, K. Dubowik
  • Neural Techniques for Path Linking, with Applications to Image Processing
    R. I. Damper, S. J. Gilson
• Recurrent
  • Astrocytes, Evolution and the Construction of Recurrent Neural Networks
    J. C. Wallace, K. Bluff
  • The Neural Solution to Reactive Compensation Problem in Systems with Non-sinusoidal Waveforms
    D. Grabowski, J. Walczak, P. Oewiscz
  • Control with Reference Model Using Recurrent Neural Networks
    L. Boquete, R. García, R. Barea, M. Mazo, J. C. García, J. Ureńa, F. Espinosa, J. L. Lázaro, M. Escudero
  • On the Approximation Capability of Recurrent Neural Networks
    B. Hammer
  • Input-Output Stability of Recurrent Neural Networks with Delays Using Circle Criteria
    J. J. Steil, H. Ritter
  • Recurrent Neural Networks with Iterated Function Systems Dynamics
    P. Tińo, G. Dorffner
  • Evoked Potential Feature Detection with Recurrent Dynamic Neural Networks
    J. D. Pińeiro, R. L. Marichal, L. Moreno, J. Sigut, I. Estévez, R. Aguilar, J. L. Sánchez, J. Merino
• Learning Algorithms
  • Probabilistic Structure of Molecular Cell Wavelets
    H. S. Kang
  • Additional Learning and Forgetting by RBF Networks and its Applications to Design of Support Structures in Tunnel Construction
    H. Nakayama, S. Yanagiuchi, K. Furukawa, Y. Araki, S. Suzuki, M. Nakata
  • An Efficient Newton-type Learning Algorithm for MLP Neural Networks
    I. Petrovic, M. Baotic, N. Peric
  • An Application of RBF-Based ANN to Extraction of Rules
    J. Zizka, Z. Kratochvil
  • Gradient Descent and Recursive Least Squares Learning Algorithms for On Line Identification of Hammerstein Systems using Recurrent Neural Network Models
    A. Janczak
• Training
  • A Mahalanobis Distance Error Measure for Backpropagation Neural Networks
    A. Goneid, I. Farag, A. M. Abdelbar, A. Kamel
  • Global Fault Immunization for Supervised ANN by Hybrid Learning Algorithm
    K. Sunat, C. Lursinsap
  • Training Neural Networks with an Extension of the Marquardt Algorithm
    M. Lendl, R. Unbehauen
  • Learning Methods for Feed-Forward Neural Networks Involving the Solution of ODEs
    M. Lendl, R. Unbehauen
  • Training Continuous Trajectories by Means of Dynamic Neural Networks with Time Dependent Weights
    L. Leistritz, M. Galicki, H. Witte
  • Continuous Learning with an Incremental Hybrid System
    M. Tagscherer
• Optimization
  • Pruning and Regularization Techniques for Feed Forward Nets Applied on a Real World Data Base
    M. Rychetsky, S. Ortmann, M. Glesner
  • Simulated Annealing: Fast Convergence with Initial Conditions Independence
    J. B. Monteiro, L. P. Calôba
  • The Improvement and Comparison of Different Algorithms for Optimizing Neural Networks on the MasPar MP-2
    W. Erhard, T. Fink, M. M. Gutzmann, C. Rahn, A. Doering, M. Galicki
  • Development of Neural Network Model to Solve the Routing Problem
    Y.-S. Kim, G.-S. Yoon, J.-M. Kim, J.-W. Kim
  • Route Optimization and Traffic Management in ATM Networks using Neural Computing
    A. Chaudhuri
• Hardware & Implementation
  • Simple CMOS Learnable Threshold Element
    V. Varshavsky
  • Neuromorphic ion Channels: Gating Modes and Adaptation
    C. Collin
  • A Neural Accelerator for Graph Colouring Based on an Edge Adding Technique
    B. Rising, M. van Daalen, J. Shawe-Taylor, P. Burge, J. Zerovnik
  • Neurocomputer Programming Using EpsiloNN
    A. Strey, B. Bunk
  • Cellular Automata Architecture for the Artificial Insect Eye
    E. Franti, M. Dascalu, M. Stanescu
  • Incorporating MOS Transistor Mismatches into Training of Analog Neural Networks
    A. S. Ögrenci, M. R. Becer, G. Dündar, S. Balkir
• Parallel & Distributed
  • Parallelization of Structured Invariant Neural Networks for Shift and Rotation Invariant Pattern Recognition
    S. Kröner, M. Nölle, G. Schreiber
  • Coarse-Grain Parallel Processing of Backpropagation Training on Shared-Memory Multiprocessors
    A. T. Murgan, F. Ionescu
  • A Concept of an Optical Vector Multiplier for Neural Networks
    M. Budil
  • Distributed Implementation of the Back Propagation on the Cluster of Workstations
    L. P. Kodym
  • Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network
    B.-L. Lu, M. Ito
  • Agent-Based Implementation of Neural Systems
    E. Thurner
• Control
  • On the Integration of Expert Knowledge in Interpolating Controllers
    T. Ullrich, K. Hohm, H. Tolle
  • A DSP-Based Intelligent Controller for a Laser Tracking Station
    F. G. Santoro, E. M. Belo, J. C. Campos Rubio
  • Design Methods of Robust Feedback Controller by Use of Neural Networks
    H. Nakanishi, K. Inoue
  • Reinforcement Learning Applied to Simulated Basketball Balancing
    W. W. Armstrong
• Dynamic Systems
  • Fuzzy ArtMap Neural Networks (FAMNN) Based Navigation for Intelligent Autonomous Vehicles (IAV) in Partially Structured Environments
    A. Chohra
  • Nonlinear Dynamic Systems Modelling Using Neural Networks with Reduced Interference on the Plant Operation
    J. B. Monteiro, L. P. Calôba
  • Sensitivity Reduction of Dynamic NN Approximations
    I. Vajk, J. Hetthéssy, H. Charaf
  • Lateral Position Control of a Vehicle on Highway by Memory Neuron Networks
    S. Dourlens, N. Chatry, V. Perdereau, M. Drouin
• Robotic
  • An Approach to the Inverse Kinematics of a Redundant Planar Arm by Dynamic Neural Networks
    G. N. Marichal, L. Acosta, L. Moreno, A. Hamilton, J. A. Méndez
  • Neural Net Model of Robot Manipulator
    J. E. Kurek
  • Controlling One-legged Dynamic Movement with MLPs
    K. D. Maier, V. Glauche, R. Blickhan, C. Beckstein
  • Discrete Hidden Markov Model based Learning Controller for Robotic Disassembly
    Y. Liu, K. Hohm
• Applications
  • An Efficient Compression of Image Data Using Neural Networks of Hybrid Learning Algorithm
    Y.-H. Cho
  • Research for the Application of Neural Network in Strip Thickness Control
    L. Jianchang, W. Jianhui, G. Shusheng
  • Tool Wear Monitoring in Metal Cutting Operation Using Neural Networks and Multivariate Process Parameters
    D. E. Dimla
  • Prediction of the daily Tax Declaration Submissions by Neural Networks
    W. Reinisch, G. Roche
  • An Occupant Dependent, Self-Optimizing Home-Automation System Using Neuro-Fuzzy Control
    M. Nebenführ, G. H. Schildt, H. J. Zainzinger
  • Applications of Feedforward Neural Networks to Transportation Research
    L. Florio, L. Mussone
  • A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project
    B. Guijarro-Berdińas, A. Alonso-Betanzos, O. Fernández-Chaves, M. Alvarez-Seoane, F. Ucieda-Pardińas
  • Effects of Database Characteristics on the Neural Modeling of an Industrial Process
    B. Pataki, G. Horvath, G. Strausz
• Prediction
  • SEE Prediction: Construction of a L-based Energy Function
    A. I. Cristea, T. Okamoto
  • A Distributed Predictive Expert System
    Y. Wang, J. Xia, J. Zhou, S. Wang
  • Real Time Ozone Episode Forecast: A Comparison Between Neural Network and Grey Box Models
    G. Finzi, M. Volta, A. Nucifora, G. Nunnari
  • A Prediction Method of Non-Stationary Time Series Data and Its Applications to Sound Signal Processing
    E. Watanabe
  • The Mutual Information Function as a Preprocessing Tool for Predictor Design
    H.-P. Bernhard, W. Reinisch, W. Bauer
  • Multivariate Forecasting of Electricity Production using Neural Network and Box-Jenkins Methodologies
    D. de la Fuente, R. Pino, J. Parreńo
• Approximation
  • On the Approximation Capability of Layered Neural Networks using Sigmoidal Heaviside Functions
    I. Ciuca
  • Evolutionary Optimized Tensor Product Bernstein Polynomials versus Backpropagation Networks
    G. R. Raidl, G. Kodydek
  • Ortho-system of Kernels in RBF Neural Networks
    P. Strumillo, W. Kaminski
  • Algorithm of Incremental Approximation Using Variation of a Function with Respect to a Subset
    K. Hlavácková, M. Sanguineti
  • Function Approximation with Noisy Training Data using FBF Neural Networks
    F. M. Frattale Mascioli, A. Mancini, A. Rizzi, G. Martinelli
• Intelligent Systems
  • BRAINN:A Connectionist Approach to Symbolic Reasoning
    R. Bogacz, C. Giraud-Carrier
  • Manufacturing Systems Scheduling through Machine Learning
    P. Priore, D. de la Fuente Garcia, I. Fernández Quesada
  • An Intelligent Knowledge-based Multi Agent System Using Neural Network and Fuzzy Inference
    Y. I. Cho
  • A Hybrid System for Symbolic-Connectionist Interaction
    T. Nedjari, Y. Bennani
  • Modelling Human Self Evaluation Within the Framework of Transformational Creativity using a Neuroidal Network
    M. Krishan
• Knowledge Representation
  • Neural Network Supported Adaptation in Case-based Reasoning
    S. Y. Whar, O. Babka
  • A Relational Neural Network Database Model
    E. Schikuta, C. Brunner, C. Schultes
  • Evaluation of World Wide Web Sites Using Neural Networks and Fractal Metrics
    M. Zorman, P. Kokol, V. Podgorelec, M. Ojstersek, J. Brest
  • Self Organizing Networks to Map Information Space in Hypertext Development
    R. Rizzo
• Theoretical Foundations
  • Stabilization of Single-Layer Neural Network with Feedbacks
    E. E. Dudnikov, M. V. Rybashov
  • On the (1+1/2) Layer Neural Networks Using Sigmoidal Functions
    I. Ciuca
  • Neural Networks Based Approach for the Manipulator Inverse Jacobian Problem
    O. Azouaoui
  • Outliers and Bayesian Inference
    P. Sykacek
• Architecture
  • Multiple-Valued Logic Oriented Neural Networks
    A. M. Haidar, M. Morisue
  • An Associative Neural Model for a Cognitive System
    P. O. A. Haikonen
  • Augmented-Input-Layer RBFN
    Z. Uykan, H. N. Koivo
  • Constructive Learning of a Sub-Feature Detector Network by Means of Prediction Risk Estimation
    S. Ortmann, M. Rychetsky, M. Glesner
  • Feed Forward Neural Network Entities in Time Series Prediction and Image Classification
    A. Hadjiprocopis, P. Smith
  • Experimental Comparison of Different Adaptive Stochastic Optimization Methods for Use with Ensemble Net Approach for Learning and Generalization
    B. Igelnik, Y.-H. Pao, S. R. LeClair
  • Axon Provoked Neurons: A Neural Implementation of Consequence Driven Systems
    S. Bozinovski, L. Bozinovska
  • A Cascade-Correlation Learning Network with Smoothing
    I. Petrovic, M. Baotic, N. Peric