1. NC 1998:
Vienna, Austria
Michael Heiss (Ed.):
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), September 23-15, 1998, Vienna, Austria.
ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland 1998, ISBN 3-906454-14-2 
Keynote Papers
Tutorial Papers
CMAC
Spiking Neurons
Self Organizing
Genetic Algorithms
- Cristian Munteanu, Vasile Lazarescu:
Simple Inversion Genetic Algorithm: An Effective Optimization Strategy.
151-156
- Leo Budin, Marin Golub, Domagoj Jakobovic:
Parallel Adaptive Genetic Algorithm.
157-163
- Akira Imada, Keijiro Araki:
How Real-valued Random Synapses Evolve Toward Symmetry with Diploid Chromosomes?
164-169
- Spiridon D. Likothanassis, Efstratios F. Georgopoulos, George D. Manioudakis, Adam V. Adamopoulos:
An Evolutionary Method for System Structure Identification Using Neural Networks.
170-175
- Alberto Gomez, David de la Fuente, Javier Puente:
Solving the Packing Problem with Genetic Algorithms.
176-179
- A. El-Ouaazizi, H. Benkirane, Rachid Benslimane, Jack-Gérard Postaire:
A Genetic-Based Filter for Mode Detection.
180-184
Fuzzy
Classification
- Nouma Izeboudjen, Ahcene Farah:
A New Neural Network System for Arrhythmia's Classification.
208-212
- Tuomas J. Lukka, Bernd Schoner, Alec Marantz:
Auditory Stimulus Discrimination from MEG Data.
213-219
- Thomas J. Boehme, Ian Fletcher, C. S. Cox:
Sensor Failure Detection and Signal Reconstruction using Autoassociative Neural Networks.
220-225
- Peter Sincak, Peter Popovec, Rudolf Jaksa, Howard Veregin:
Experience with Voting Neural Networks for Multi-spectral Image Classification.
226-232
- M. S. Pakianather, P. R. Drake, M. K. Kidwai, N. Naji:
Decision Trees of Modular Neural Networks.
233-239
Pattern Recognition
- Kunihiko Fukushima, Eiji Kimura, Hayaru Shouno:
Handwritten Digit Recognition by a Neocognitron with Improved Bend-Extractors.
240-246
- Horst Bischof, Ales Leonardis:
Robust Vector Quantization by MDL.
247-253
- A. C. B. Ramos, A. M. da Cunha:
An Intelligent Hybrid System Approach to Aid Process Operators.
254-259
- Slawomir J. Nasuto, J. Mark Bishop, Stanislao Lauria:
Time Complexity Analysis of the Stochastic Diffusion Search.
260-266
- Mario Köppen, Javier Ruiz-del-Solar, Pierre Soille:
Texture Segmentation by Biologically-Inspired Use of Neural Networks and Mathematical Morphology.
267-272
- Hansoo Cho, Kenji Ohmori:
On-Line Hangul Character Recognition Using Multiple Neural Networks.
273-279
- James Seager:
Electronic Fruit Grading using Neural Networks for Real Time Pattern Recognition.
280-286
- Volodymyr P. Kozhemyako, Yuri F. Kutaev, Leonid I. Timchenko, Sergey V. Chepornyuk, Rami R. Hamdi, Alexander A. Gertsiy, Igor D. Ivasyuk:
The Q-Transformation Method Applying to the Facial Images Normalization.
287-291
- Peter G. Anderson:
The Unit RBF Network: Experiments and Preliminary Results.
292-297
Object Recognition
Energy
- Pedro A. González Lanza:
A Very Short-term Maximal Demand Forecasting and Control using RBF Neural Networks.
318-323
- Jerzy S. Zielinski, Witold Bardzki, Witold Bartkiewicz, Zbigniew Gontar:
Short-term Electrical Load Forecasting in Transformation Period (Case Study).
324-328
- R. Bertrand, N. Elhor, Denis Hamad, Jack-Gérard Postaire:
Supervision of Wind Energy Converters by an Autoassociator Neural Network.
329-334
- Antonino Augugliaro, V. Cataliotti, Luigi Dusonchet, S. Favuzza, G. Scaccianoce:
Progressive Learning Neural Networks Applied to Solve Wide Electrical Power Systems.
335-341
- Bojan Novak:
Neuro-Fuzzy Load Forecasting.
342-346
Economy
Medicine
- Thomas Zemen, Markus Clabian, Helmut Pfützner:
Classification of Sleep Apnea Events by Means of Radial Basis Function Networks.
351-357
- Amparo Alonso-Betanzos, Oscar Fontenla-Romero, Bertha Guijarro-Berdiñas, Olga Fernández-Chaves, José Carlos Príncipe:
Detection of Fetal Heart Rate Accelerations and Decelerations Using Artificial Neural Networks.
358-364
- Yasuo Kuhara, Kentaro Shimizu, Junta Doi:
Time-of-Reduction-Recovery Predicton in Neural Networks of Variable Topology to Improve Enzyme Classification.
365-370
- F. Tafill, M. Budil, Christian Kremser, Michael Schocke, F. Aichner:
Automatic Segmentation of MRT images using a hybrid Neural Network - image matching approach.
371-377
- Rafael Barea, Luciano Boquete, Ricardo García, Manuel Mazo, Elena López Guillén, María Soledad Escudero, Francisco Javier Rodríguez:
ECG Identification Using Self-Organising Maps.
378-383
- Miroslaw Swiercz, Zenon Mariak, Janusz Lewko:
Neuro-Fuzzy Approach to Detection of Emergency States in Neurosurgical Patients.
384-390
Biometric
Estimation
Chaos
Signal Processing
- Seok-Woon Ha, Sung-Eun Lee, Soo-Bok Hwang, Jae-Chang Kim:
Estimation and Extraction of Unstable Frequency Lines of Acoustic Signal Using Neural Network.
432-438
- Sangweon Suh, Kihong Kim, Heechong Lee, Hyunbin Kim:
Neural Network Based Nonlinear Feature Extraction of Head-Related Transfer Function (HRTF) Data in 3-D Sound Processing.
439-444
- Man On Pun, Yuzo Hirai:
A Variable Step (VS) Learning Algorithm for Blind Source Separation (BSS).
445-450
- Fa-Long Luo, Rolf Unbehauen, Tertulien Ndjountche:
Analog Neural Networks for Linear Predictive Coding.
451-455
- Sid-Ahmed Selouani, Jean Caelen:
Spotting Arabic Phonetic Features Using Modular Connectionist Architectures and a Rule-Based System.
456-462
Neural Aided Object Recognition
Recurrent
- J. G. (Iain) Wallace, Kevin Bluff:
Astrocytes, Evolution and the Construction of Recurrent Neural Networks.
495-498
- Dariusz Grabowski, Janusz Walczak, Piotr Oewiscz:
The Neural Solution to Reactive Compensation Problem in Systems with Non-sinusoidal Waveforms.
499-505
- Luciano Boquete, Ricardo García, Rafael Barea, Manuel Mazo, Juan Carlos García García, Jesús Ureña, Felipe Espinosa, José Luis Lázaro, María Soledad Escudero:
Control with Reference Model Using Recurrent Neural Networks.
506-511
- Barbara Hammer:
On the Approximation Capability of Recurrent Neural Networks.
512-518
- Jochen J. Steil, Helge Ritter:
Input-Output Stability of Recurrent Neural Networks with Delays Using Circle Criteria.
519-525
- Peter Tiño, Georg Dorffner:
Recurrent Neural Networks with Iterated Function Systems Dynamics.
526-532
- José D. Piñeiro, Roberto L. Marichal, Lorenzo Moreno, José F. Sigut, J. I. Estévez, R. M. Aguilar, José L. Sánchez, Juan J. Merino:
Evoked Potential Feature Detection with Recurrent Dynamic Neural Networks.
533-536
Learning Algorithms
Training
Optimization
- Matthias Rychetsky, Stefan Ortmann, Manfred Glesner:
Pruning and Regularization Techniques for Feed Forward Nets Applied on a Real World Data Base.
603-609
- Joarez B. Monteiro, Luiz Pereira Calôba:
Simulated Annealing: Fast Convergence with Initial Conditions Independence.
610-616
- Werner Erhard, Torsten Fink, Michael M. Gutzmann, Christoph Rahn, Axel Doering, Miroslaw Galicki:
The Improvement and Comparison of Different Algorithms for Optimizing Neural Networks on the MasPar MP-2.
617-623
- Yoo-Shin Kim, Gi-Souk Yoon, Ja-Myoung Kim, Je-Woo Kim:
Development of Neural Network Model to Solve the Routing Problem.
624-628
- Fabrizio Almagno, Luigi Caputo:
A New Optimization Method for the Interconnecting Structure of Artificial Neural Networks.
629-633
- Aloke Chaudhuri:
Route Optimization and Traffic Management in ATM Networks using Neural Computing.
634-638
Hardware & Implementation
- Victor Varshavsky:
Simple CMOS Learnable Threshold Element.
639-644
- Catherine Collin:
Neuromorphic ion Channels: Gating Modes and Adaptation.
645-651
- Barry Rising, Max van Daalen, John Shawe-Taylor, Peter Burge, Janez Zerovnik:
A Neural Accelerator for Graph Colouring Based on an Edge Adding Technique.
652-656
- Alfred Strey, Bernd Bunk:
Neurocomputer Programming Using EpsiloNN.
657-663
- Eduard Franti, Monica Dascalu, Mihai Stanescu:
Cellular Automata Architecture for the Artificial Insect Eye.
664-668
- Arif Selçuk Ögrenci, Murat R. Becer, Günhan Dündar, Sina Balkir:
Incorporating MOS Transistor Mismatches into Training of Analog Neural Networks.
669-675
Parallel & Distributed
- Sabine Kröner, Michael Nölle, Gerald Schreiber:
Parallelization of Structured Invariant Neural Networks for Shift and Rotation Invariant Pattern Recognition.
676-684
- A. T. Murgan, Felicia Ionescu:
Coarse-Grain Parallel Processing of Backpropagation Training on Shared-Memory Multiprocessors.
685-688
- M. Budil:
A Concept of an Optical Vector Multiplier for Neural Networks.
689-695
- Ladislav P. Kodym:
Distributed Implementation of the Back Propagation on the Cluster of Workstations.
696-702
- Bao-Liang Lu, Masami Ito:
Decomposing and Parallel Learning of Large-Scale Pattern Recognition Problems using Min-Max Modular Neural Network.
703-709
- Elmar Thurner:
Agent-Based Implementation of Neural Systems.
710-716
Control
Dynamic Systems
Robotic
Applications
- Yong-Hyun Cho:
An Efficient Compression of Image Data Using Neural Networks of Hybrid Learning Algorithm.
798-801
- Liu Jianchang, W. Jianhui, Gu Shusheng:
Research for the Application of Neural Network in Strip Thickness Control.
802-806
- Dimla E. Dimla:
Tool Wear Monitoring in Metal Cutting Operation Using Neural Networks and Multivariate Process Parameters.
807-810
- Walter Reinisch, Gunter Roche:
Prediction of the daily Tax Declaration Submissions by Neural Networks.
811-815
- Markus Nebenführ, Gerhard H. Schildt, Harald J. Zainzinger:
An Occupant Dependent, Self-Optimizing Home-Automation System Using Neuro-Fuzzy Control.
816-819
- Livio Florio, Lorenzo Mussone:
Applications of Feedforward Neural Networks to Transportation Research.
820-826
- Bertha Guijarro-Berdiñas, Amparo Alonso-Betanzos, Olga Fernández-Chaves, Miguel Álvarez-Soane, Francisco Ucieda-Pardiñas:
A Neural Network Approach to the Classification of Decelerative Cardiotocographic Patterns in the CAFE Project.
827-833
- B. Pataki, G. Horváth, G. Strausz:
Effects of Database Characteristics on the Neural Modeling of an Industrial Process.
834-840
Prediction
- Alexandra I. Cristea, Toshio Okamoto:
SEE Prediction: Construction of a L-based Energy Function.
841-847
- Yutao Wang, Jingbo Xia, Jianchang Zhou, Shi Wang:
A Distributed Predictive Expert System.
848-853
- Giovanna Finzi, Marialuisa Volta, Angelo Nucifora, Giuseppe Nunnari:
Real Time Ozone Episode Forecast: A Comparison Between Neural Network and Grey Box Models.
854-860
- Eiji Watanabe:
A Prediction Method of Non-Stationary Time Series Data and Its Applications to Sound Signal Processing.
861-867
- Hans-Peter Bernhard, Walter Reinisch, Wolfgang Bauer:
The Mutual Information Function as a Preprocessing Tool for Predictor Design.
868-873
- David de la Fuente, Raúl Pino, José Parreño:
Multivariate Forecasting of Electricity Production using Neural Network and Box-Jenkins Methodologies.
874-877
Approximation
Intelligent Systems
Knowledge Representation
Theoretical Foundations
Architecture
- Ali Massoud Haidar, Mititada Morisue:
Multiple-Valued Logic Oriented Neural Networks.
979-982
- Pentti O. A. Haikonen:
An Associative Neural Model for a Cognitive System.
983-988
- Zekeriya Uykan, Heikki N. Koivo:
Augmented-Input-Layer RBFN.
989-994
- Stefan Ortmann, Matthias Rychetsky, Manfred Glesner:
Constructive Learning of a Sub-Feature Detector Network by Means of Prediction Risk Estimation.
995-1001
- Andreas Hadjiprocopis, Peter Smith:
Feed Forward Neural Network Entities in Time Series Prediction and Image Classification.
1002-1008
- Boris Igelnik, Yoh-Han Pao, Steven R. LeClair:
Experimental Comparison of Different Adaptive Stochastic Optimization Methods for Use with Ensemble Net Approach for Learning and Generalization.
1009-1015
- Stevo Bozinovski, Liljana Bozinovska:
Axon Provoked Neurons: A Neural Implementation of Consequence Driven Systems.
1016-1022
- Ivan Petrovic, Mato Baotic, Nedjeljko Peric:
A Cascade-Correlation Learning Network with Smoothing.
1023-1029
Poster Papers (not reviewed)
Last update Tue May 21 17:46:57 2013
CET by the DBLP Team — 
Data released under the ODC-BY 1.0 license — See also our legal information page
