Publications

NC'2000

KEYNOTE PAPERS & TUTORIALS

Self-Organizing Maps: Modification, Extension and Application
T. Kohonen
Combination of Supervised and Unsupervised Learning for Radial- Basis- Function Networks
G. Palm
Neural Networks as Nonlinear Approximators
V. Kurkova

COMPUTATIONAL NEUROSCIENCE - ANN PARADIGMS

A Continuous-time Hopfield Net Simulation of Discrete Neural Networks
J. Sima, P. Orponen
Statistical Modelling of Artificial Neural Networks
M.A. Aitkin, R.J. Foxall
Fixed Points of Autoassociative Morphological Memories
P. Sussner
A Comparative Analysis of High Performance Associative Memory Models
N. Davey, S.P. Hunt
Finding Near-Maximum Cliques with Competitive Hopfield Networks
G. Galán-Marín, J. Muñoz-Pérez
The Neural Network Approach for the Shortest Path Planning Problem
V. Dimakov
Mixed Markov Networks
A. Fridman
RBF Networks with Mixed Radial Basis Functions
Ö. Ciftcioglu, S. Sariyildiz
Bound on Convergence of a Derivative Free, Parameter Free Artificial Neural Network Training Method
S. Ahmed, J. Cross
A New Self-adaptive Back Propagation Training Method
S. Ahmed, J. Cross, A. Bouzerdoum

COMPUTATIONAL NEUROSCIENCE - LEARNING AND GENERALIZATION

Assessing Convergence in High-Dimensional Optimization Problems: Application to Neural Networks<
R.S. Pilla, B.G. Lindsay
Supervised Learning without Numerical Targets - An Information Theoretic Approach
E. Haselsteiner, J.C. Principe
Improving the Rprop Learning Algorithm
C. Igel, M. Hüsken
Speeding up Backpropagation Learning by the APROP Algorithm
R. Linder, S. Wirtz, S.J. Poppl
Bounding the Generalization Error of Neural Networks and Combined Classifiers
V. Koltchinskii, D. Panchenko
Model Selection using Rademacher Penalization
F. Lozano
A Statistical Procedure for Determining the Optimal Number of Hidden Neurons of a Neural Model
I. Rivals, L. Personnaz
Finding an Optimal Artificial Neural Network Topology in Real-Life Modeling - Two Approaches
Z. Boger, R. Weber
Using Subgoal Chaining to Address the Local Minimum Problem
J.P. Lewis, M.K. Weir
Sampled Optimization Improves on Purely Stochastic Neural Network Training
J.E.W. Holm, E.C. Botha
Using Tangent Hyperplanes to Direct Neural Training
M.K. Weir, J.P. Lewis, G. Milligan
Global Learning Rate Adaptation in On-line Neural Network Training
V.P. Plagianakos, G.D. Magoulas, M.N. Vrahatis
Probabilistic Inference and Learning in a Connectionist Causal Network
C. Wendelken, L. Shastri
A Memory Optimal Neural Network Training Algorithm
S. McLoone
An Efficient Learning Rate Selection Strategy for Gradient Based Neural Network Training Algorithms
S. McLoone
Cooperative Fluctuations of Synapses
J. Marro

COMPUTATIONAL NEUROSCIENCE - SELF-ORGANIZATION

Visual Categorisation in a Modified Self Organising Map: Implications for Category-specific Agnosia
T. Gale, L. Peters, R. Frank, N. Davey
String Averages and Self-Organizing Maps for Strings
I. Fischer, A. Zell
Automated Galaxy Survey Classifications using Self-Organizing Maps
P. Mähönen, F. Cortiglioni, P. Hakala
Dynamically Constructed Topological Latices for the SOFM
M. Jirina,M. Snorek
Self-Organizing Maps Combined with Eigenmode Analysis for Automated Cluster Identification
T. Galliat, W. Huisinga, P. Deuflhard
Externally Growing Cell Structures for Pattern Classification
G. Cheng, A. Zell
The Neuro-Data-Mine
A. Ultsch
Function Approximation with Continuous Self-Organizing Maps using Neighboring Influence Interpolation
M. Aupetit, P. Couturier, P. Massotte
Exploitation of Self-Organising Maps for the Reduction of Non-Stationary Noise in Speech Signals
R. Krolikowski

COMPUTATIONAL NEUROSCIENCE - SUPPORT-VECTOR-MACHINES

Applying Support Vector Machines and Boosting to a Non-intrusive Monitoring System for Household Electric Appliances with Inverters
T. Onoda, G. Rätsch, K-R Müller

COMPUTATIONAL NEUROSCIENCE - THEORETICAL ASPECTS

Solving the Center Manifold Equation by Feedforward Neural Networks
C.F. Ng, J. Huang
A Neural Network for Solving a Class of Variational Inequality Problems
Y. Xia, J. Wang
Fast Adaptation of the Solution of Differential Equations to Changing Constraints
M. Hüsken, C. Goerick, A. Vogel
Optimisation of Bayesian Classifiers by Using A Splitting Hierarchical EM Algorithm
M. Panella, F.M. Frattale Mascioli, A. Rizzi, G. Martinelli
How Useful Are Artificial Neural Networks with Small Sample Sizes?
J. Aschenwald, G. Tappeiner, H.W. Holub
On-line Decision Making and Prediction of Financial and Macroeconomic Parameters on the Case Study of the European Monetary Union
N. Kasabov, D. Deng, L. Erzegovezi, M. Fedrizzi, A. Beber
Neural Networks Applied to Item Response Theory
R. Benitez Rochel, M. Trella Lopez, R. Conejo Muñoz

COMPUTATIONAL NEUROSCIENCE - HYBRID SYSTEMS

Selective Information Acquisition by Conditional Information Controllers
R. Kamimura
Extracting Rules from Neural Networks by Removing Unnecessary Connections
M.H. Mohamed, K. Niijima
Merging Sub-symbolic and Symbolic Computation
J.P. Neto, J.F. Costa, A. Ferreira
Neural Network Approach to Identification of Wiener Systems in a Noisy Environment
A. Janczak, M. Mrugalski
Connecting Fuzzy and Statistical Analysis with Qualitative Maps
V. Vigneron, C. Barret
Learning a Fuzzy Rule Based Knowledge Representation
H. Surmann
Knowledge Fusion in Modular Neural Networks
S. Spaanenburg, A. ten Berg
Evolution Strategy with Neighborhood Attraction
J. Huhse, A. Zell
Toxicity Prediction by Using Genetically Optimized B-Spline Networks Based on Molecular Quantum Similarity
I. Renners, R. Carbó-Dorca, A. Grauel, L.A. Ludwig, D. Robert, X. Girones
Function Approximation using Fuzzy Kohonen Networks
D.T. Pham, H.A. Awad
A Hybrid System to Control a Robot Arm
G.N. Marichal, L. Leistritz, L. Acosta, L. Moreno

COMPUTATIONAL NEUROSCIENCE - CHAOTIC SYSTEMS

Structural Stabilization of one Continuous Neural Network with Chaotic Behaviour
E.E. Dudnikov
Signal Processing by Oscillatory and Chaotic Model Neural Networks
J. Schwarz, A. Klotz, K. Bräuer, A. Stevens, M. Bartels
On Optimal Noise Cleaning by Local Manifold Projections
A. Kern, D. Blank, R. Stoop
Chaosmakers: Rhythm Breakers
B.L. Bardakjian, A. Courville
Dynamics of a Small Discrete Recurrent Neural Network
J.D. Piñeiro, R.L. Marichal, L. Moreno, J.F. Sigut, J.I. Estévez, R.M. Aguilar
Reconstructiong State Space from ScalarTime Series with Different Time Delays
J. Poljak, L. Budin

NEUROPHYSIOLOGICALLY INSPIRED MODELS - RECORDING AND MODELLING OF BRAIN CENTERS

A Model of the Enteral Sympathetic Communication
R. Miftakhov, J. Christensen
Space-time Relations in Wave Interference Systems with Attention to Nerve Networks
G.K. Heinz
Chamfer-distance based Genetic Algorithm for Multimodal Image Registration
B. Guojun, J.C. Rajapakse
Metabolic Control of Synaptic Efficacy of GABAergic Synapses in the Hippocampus
N. Axmacher, M. Stemmler, D. Engel, A. Draguhn, A.V.M. Herz, R. Ritz

NEUROPHYSIOLOGICALLY INSPIRED MODELS - PULSED NEURON MODELS

Towards NeuroReactivity and Neural Assemblies Emergence: The Asynchronous Spike Propagation Model
G. Beslon, F. Biennier, J. Favrel
Optimal Recurrent Excitation Amplification in Biophysically Plausible Neuron Models
D.A. Blank, R. Stoop, A. Kern, R.J. Douglas

NEUROPHYSIOLOGICALLY INSPIRED MODELS - HARDWARE IMPLEMENTATIONS

Computing with Uncertainty in Probabilistic Neural Networks on Silicon
R. Woodburn, A. Astaras, R. Dalzell, A.F. Murray, D.K. McNeill
Neural Networks on FPGAs: A Survey
G. Girau
Analog Implementation of Supervised On-chip Learning Neural Network
G.M. Bo, D.D. Caviglia, M. Valle

NEUROPHYSIOLOGICALLY INSPIRED MODELS - SENSATION AND PERCEPTION

Spatio-Temporal Curvature and the Visual Coding of Motion
E. Barth
Modelling Selective Attention from Sequence of Images
M.G. Milanova, A.C. Campilho, M.V. Correlial

ANN APPLICATIONS - PATTERN RECOGNITION AND CLASSIFICATION

Identification of Noises by Neural Nets for Application in Hearing Aids
F. Feldbusch
Computerised Auto-scoring System based upon Feature Extraction and Neural Network Technologies
D.J. Hou, Q. Song

ANN APPLICATIONS - IMAGE AND SPEECH PROCESSING

Integrating Fourier and Wavelet Features with Neural Computing for Face Recognition
H.M. El-Bakry, M.A. Abo-Elsoud, M.S. Kamel
Expansive Competitive Learning for Colour Image Compression
J.A. Gomez-Ruiz, E. Lopez-Rubio, J.Muñoz-Perez
Recognition of Handwritten Numerals by Structural Probabilistic Neural Networks
J. Grim, P. Pudil, P. Somol
Experimental Analysis of Color Representation Spaces. An Attempt of Synthetization
S. Bonnevay, A. Bounekkar, M. Lamure, N. Nicoloyannis
Neural Network Support for Tracking Response to Speech Therapy
I.B. Cook, M. Ingleby, J.C. Mason

ANN APPLICATIONS - VISION

Hopfield Network Strategies for Stereo Vision Correspondence
R. Mayoral, M.J. Pérez-Ilzarbe, G. Lera

ANN APPLICATIONS - ROBOTICS

Novelty Detection for Robot Neotaxis
S. Marsland, U. Nehmzow, J. Shapiro
Comparison of Neural Models for Robot Manipulator
J.E. Kurek
Behavior Planning for Driver Assistance using Neural Field Dynamics
U. Handmann, I. Leefken, A. Steinhage, W. v.Seelen
Self-Organizing Path Planning Control System for a Vehicle
V. Dimakov, V. Golovko
Visual and Motor Learning Using a Chaotic Recurrent Neural Network: Application to the Control of a Mobile Robot
M. Quoy, E. Daucé

ANN APPLICATIONS - CONTROL

Horizontal-Position Control of a Double Pantograph Manipulator using a Neural Network
S.C. Kim, W.J. Chung, J.H. Shin, D.S. Hong
Neuro Self-Tuning PI for Water Treatment Processes
T.J. Böhme, I. Fletcher, A. Adgar
Design Methods of Robust Feedback Controller against Parametric Uncertainties by Use of Neural Networks
H. Nakanishi, K. Inoue

ANN APPLICATIONS - COMMUNICATIONS AND SCHEDULING

Using a Neural Network to Predict Packet Loss during Real-time Video Transmission
S. Lavington, H. Hagras, N. Dewhurst
Adaptive Equalization of Non-linear Channel using Radial Basis Functions
Z. Ghadialy, U.B. Desai
Neural Network Based Algorithm for Scheduling Multiprocessor Tasks
I. Czarnowski, P. Jedrzejowicz
Embedding Discrete Cosine Transform in a Neural Network Paradigm for Performance Enhancement of an Adaptive Channel Equalizer
J.K. Satapathy, S. Das, C.J. Harris

ANN APPLICATIONS - BIOMEDICAL APPLICATIONS

Neural Network for RF-signal Decomposition in Ultrasound: A Pilot Study
M. Schlaikjer, J.A. Jensen
Effectiveness of Efficient Learning Algorithms in Obtaining Physiological Information, including Known and Specific Information
K. Oguri, T. Shirai, A. Iwata

ANN APPLICATIONS - ENVIRONMENTAL APPLICATIONS

Comparison of Unsupervised and Supervised Training of RBF Neural Networks. Case Study: Mapping of Contamination Data
V. Polishchuk, M. Kanevski
Neural Network Residual Stochastic Cosimulation for Environmental Data Analysis
V. Demyanov, M. Kanevsky, E. Savelieva, V. Timonin, S. Chernov, V. Polishchuk, M. Maignan
Breaking Hyperplanes to fit Data with Applications to 3D World Modeling and Oil Sand Data Analysis
W.W. Armstrong, D.O. Gorodnichy
Real Time Urban Ozone Alarm System Including Neuro-fuzzy Networks and Grey Box Models
G. Finzi, M. Volta
NNN - A Neural Network Model for Net Primary Production of Plants on a Global Scale
O. Moldenhauer, M.K.B. Lüdeke

ANN APPLICATIONS - TEXT AND DATA MINING

Using Competitive Networks for Text Mining
D. Memmi, J-G Meunier

ANN APPLICATIONS - ANN APPLICATIONS

Constructing Topological Models of Interacting Systems
Y-H Pao, B. Igelnik, Y. Zhao
Neurocomputational Approach for Modeling Large Scale Environments from Range Data
D.O. Gorodnichy, W.W. Armstrong
Unsupervised Neural Network Training for Data Compression
V. Golovko, Y. Savitsky, T. Laopoulos, A. Sachenko, L. Grandinetti
Coal Segregation by a Self-Organising Feature Map
T.E.J. Coventry, J. Gouws

ANN APPLICATIONS - PCA AND ICA

Integrating Fourier and PCA with Neural Computing for Human Face Recognition
H.M. El-Bakry, M.A. Abo-Elsoud, M.S. Kamel
Unified Approach to Independent Component Networks
J.C. Rajapakse, L. Wei
Approach to Less Complete Independent Component Analysis
L. Wei, J.C. Rajapakse
Topographic Local PCA Maps
P. Meinicke, H. Ritter
Independent Component based Gaussian Mixture Model for Speaker Verification
I-T Um, J-J Won, M-H Kim

ANN APPLICATIONS - PREDICTION

A Two Tiered Cognitive Model for the Forecasting of Time Series Data
A.J. Novobilski, F.A. Kamangar
Neural-Heuristic Approach to Short-Term Electrical Load Forecasting Problems
W. Bartkiewicz, Z. Gontar, J.S. Zielinski, W. Bardzki
Prediction Intervals for Forecasts of Neural Network Models for Time Series
H. Boraine
Time Series Prediction for Workforce Management Systems for Call Centres
P. Wilke, G. Glaser

INVITED SESSION - SELF-ORGANIZING MAPS: MODIFICATION, EXTENSION AND APPLICATION

The PSOM Algorithm and Applications
J. Walter, C. Nölker, H. Ritter
Extensions and Modifications of the SOM and its Application in Satellite Remote Sensoring Processing
Th. Villmann, E. Merényi
Special Algorithms for Analysis of Clusters with Different Feature Density using Self-organizing Maps
S. Schünemann, B. Michaelis

INVITED SESSION - BIO-INSPIRED NEURAL IMAGE PROCESSING

Texture Segmentation by Bio-inspired use of Self-Organizing Networks
D. Kottow, J. Ruiz-del-Solar
Bio-inspired Color Vision for the Fusion of Chromatic, Infrared and Textural Information
J. Ruiz-del-Solar, A. Soria-Frisch
A Bio-inspired Low-power CMOS Image Sensor with Local Adaptation based on Anisotropic Smoothing
S. Thoss, J. Skribanowitz, J. Schreiter, A. König
Low-power CMOS Image Sensor Architectures for Change Detection and Novelty Filtering in Surveillance or Inspection Tasks
A. König, Michael Eberhardt, J. Döge, A. Günther
Classifying the Unknown: The T-cell Recruitment Mechanism of the Immune System as a Paradigm for Pattern Recognition
M. Köppen, M. Stellmacher, L. Lohmann, B. Nickolay

INVITED SESSION - NONLINEAR DYNAMICS AND NEURAL FIELDS

Learning by Doing: A Dynamic Architecture for Generating Adaptive Behavioral Sequences
A. Steinhage, T. Bergener
Attractor Dynamics Generate Behavior and Representations
G. Schöner
Neural Field Model for the Recognition of Biological Motion Patterns
M.A. Giese
Dynamic Properties of the Neural Representation of Moving Objects Mediated through the Balance of Excitation and Inhibition: A Theory
W. Erlhagen, D. Jancke
Detecting, Representing and Following Walls based on Low-level Distance Sensors
E. Bicho

INVITED SESSION - HYBRID NEURAL NETWORKS AND THEIR APPLICATION IN HEALTHCARE

Rule Extraction for Health Care Decision Making from Artificial Neural Networks Models
Z. Boger
Decision Support Methods in Diabetic Patient Management by Insulin Administration Neural Network vs. Induction Methods for Knowledge Classification
B.V. Ambrosiadou, S. Vadera, V. Shankararaman, D., Goulis, G. Gogou
Decision Trees with Use of Fuzzy Heuristics Function
S.H. Babic, P. Kokol
Neuro Generated Decision Trees
M. Zorman, P. Kokol

INVITED SESSION - NEUROMORPHIC ENGINEERING

Mismatch in Analog VLSI Networks for Early Visual Processing
A. Moini
Spatiotemporal Neuromorphic Operators for the Detection of Motion-in-depth
S.P. Sabatini, F. Solari, G.M. Bisio
Stereoscopic Depth Analysis in Video-Real Time based on Visual Cortical Cell Behavior - an FPGA Solution
F. Wörgötter
SpikeI and SpikeII: Experiences with Analogue VLSI Integrate-and-Fire Chips
L.S. Smith, B.E. Eriksson, F. Glover, A. Hamilton
Visuo-motor Fly-like Behaviors of a Robot using a VLSI Motion-sensitive Chips
S-C Liu, A. Usseglio-Viretta

POSTERS

Improving Neighbourhood Relations: Using Evolutionary Programming to Uncover Non-linear Functional Dependencies Underlying Lexical Access
C. Westbury, L. Buchanan
On the Computational Role of the Primate Retina
M. Wulf, H-S Stiehl, C. Schnörr
Application of a Neural Network Model to solve an Inverse Problem: Analysis of Linear Viscoelastic Properties
B.P.A. Grandjean, A. Aït-Kadi, M. Côté
Neural Network Band-Pass Filter Design with Phase and Amplitude Displacement
D.N. Han, J.E. Kurek
Classifying and Clustering the Internet Traffic by Kohonen Network
O. Raivio, J. Riihijärvi, P. Mähönen
Building Neural Network Components
R.G. Beckenkamp, W. Pree
Inverse Neural Modeling for Non Destructive Evaluation
A. Brozzetti, S. Fiori, P. Burrascano
Wheeled Vehicles Classification Using Radial Base Function Neural Network
R. Wantoch-Rekowski
Georgia: A Medical Decision Support System
G.-P.K. Economou, E. Karavatselou, C. Chassomeris, D. Lymberopoulos
Artificial Neural Networks in Medicine - Survey of Applications
P.S. Szczepaniak, P.J. Lisboa, E.C. Ifeachor

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