Adaptive and Natural Computing Algorithms

1. Front Matter

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2. Plenary Session

   1. Autonomous Discovery of Abstract Concepts by a Robot

      • Ivan Bratko

      Pages 1-11

3. Neural Networks

   1. Kernel Networks with Fixed and Variable Widths

      • Věra Kůrková, Paul C. Kainen

      Pages 12-21

   2. Evaluating Reliability of Single Classifications of Neural Networks

      • Darko Pevec, Erik Štrumbelj, Igor Kononenko

      Pages 22-30

   3. Nonlinear Predictive Control Based on Multivariable Neural Wiener Models

      • Maciej Ławryńczuk

      Pages 31-40

   4. Methods of Integration of Ensemble of Neural Predictors of Time Series - Comparative Analysis

      • Stanislaw Osowski, Krzysztof Siwek

      Pages 41-50

   5. A Rejection Option for the Multilayer Perceptron Using Hyperplanes

      • Eduardo Gasca A., Sergio Saldaña T., José S. Sánchez G., Valentín Velásquez G., Eréndira Rendón L., Itzel M. Abundez B. et al.

      Pages 51-60

   6. Parallelization of Algorithms with Recurrent Neural Networks

      • João Pedro Neto, Fernando Silva

      Pages 61-69

   7. Parallel Training of Artificial Neural Networks Using Multithreaded and Multicore CPUs

      • Olena Schuessler, Diego Loyola

      Pages 70-79

   8. Supporting Diagnostics of Coronary Artery Disease with Neural Networks

      • Matjaž Kukar, Ciril Grošelj

      Pages 80-89

   9. The Right Delay

      • Arvind Datadien, Pim Haselager, Ida Sprinkhuizen-Kuyper

      Pages 90-99

   10. New Measure of Boolean Factor Analysis Quality

       • Alexander A. Frolov, Dusan Husek, Pavel Yu. Polyakov

       Pages 100-109

   11. Mechanisms of Adaptive Spatial Integration in a Neural Model of Cortical Motion Processing

       • Stefan Ringbauer, Stephan Tschechne, Heiko Neumann

       Pages 110-119

   12. Self-organized Short-Term Memory Mechanism in Spiking Neural Network

       • Mikhail Kiselev

       Pages 120-129

   13. Approximation of Functions by Multivariable Hermite Basis: A Hybrid Method

       • Bartlomiej Beliczynski

       Pages 130-139

   14. Using Pattern Recognition to Predict Driver Intent

       • Firas Lethaus, Martin R. K. Baumann, Frank Köster, Karsten Lemmer

       Pages 140-149

   15. Neural Networks Committee for Improvement of Metal’s Mechanical Properties Estimates

       • Olga A. Mishulina, Igor A. Kruglov, Murat B. Bakirov

       Pages 150-157

   16. Logarithmic Multiplier in Hardware Implementation of Neural Networks

       • Uroš Lotrič, Patricio Bulić

       Pages 158-168

   17. Efficiently Explaining Decisions of Probabilistic RBF Classification Networks

       • Marko Robnik-Šikonja, Aristidis Likas, Constantinos Constantinopoulos, Igor Kononenko, Erik Štrumbelj

       Pages 169-179

   18. Evolving Sum and Composite Kernel Functions for Regularization Networks

       • Petra Vidnerová, Roman Neruda

       Pages 180-189

The two-volume set LNCS 6593 and 6594 constitutes the refereed proceedings of the 10th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2010, held in Ljubljana, Slovenia, in April 2010. The 83 revised full papers presented were carefully reviewed and selected from a total of 144 submissions. The first volume includes 42 papers and a plenary lecture and is organized in topical sections on neural networks and evolutionary computation.

• embedded systems
• genetic algorithms
• optimization
• robot learning
• soft computing
• algorithm analysis and problem complexity

• Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

  Andrej Dobnikar, Uroš Lotrič, Branko Šter

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