Adaptive and Natural Computing Algorithms

1. Front Matter

   Pages I-XV

   PDF

2. Neural Networks

   1. ADFUNN: An Adaptive Function Neural Network

      • Dominic Palmer-Brown, Miao Kang

      Pages 1-4

   2. Certain comments on data preparation for neural networks based modelling

      • Bartlomiej Beliczynski

      Pages 5-8

   3. A simple method for selection of inputs and structure of feedforward neural networks

      • H. Saxén, F. Pettersson

      Pages 9-12

   4. The Concept and Properties of Sigma-if Neural Network

      • M. Huk, H. Kwasnicka

      Pages 13-17

   5. Beta wavelet networks for function approximation

      • Wajdi Bellil, Chokri Ben Amar, Adel M. Alimi

      Pages 18-21

   6. Speeding up backpropagation with Multiplicative Batch Update Step

      • Pedro Cruz

      Pages 22-24

   7. Generating Sequential Triangle Strips by Using Hopfield Nets

      • Jiří Šíma

      Pages 25-28

   8. The Linear Approximation Method to the Modified Hopfield Neural Network Parameters Analysis

      • S. I. Bauk, S. M. Perovich, A. Lompar

      Pages 29-32

   9. The Analytical Analysis of Hopfield Neuron Parameters by the Application of Special Trans Function Theory

      • S. M. Perovich, S. I. Bauk, N. Konjevic

      Pages 33-37

   10. Time-Oriented Hierarchical Method for Computation of Minor Components

       • M. Jankovic, H. Ogawa

       Pages 38-41

   11. Evolution versus Learning in Temporal Neural Networks

       • Hédi Soula, Guillaume Beslon, Joël Favrel

       Pages 42-45

   12. Minimization of empirical error over perceptron networks

       • Věra Kůrková

       Pages 46-49

   13. Interval Basis Neural Networks

       • A. Horzyk

       Pages 50-53

   14. Learning from Randomly-Distributed Inaccurate Measurements

       • John Eidson, Bruce Hamilton, Valery Kanevsky

       Pages 54-61

   15. Combining Topological and Cardinal Directional Relation Information in Qualitative Spatial Reasoning

       • Haibin Sun, Wenhui Li

       Pages 62-65

   16. An Evidence Theoretic Ensemble Design Technique

       • H. Altinçay

       Pages 66-69

   17. Cortical Modulation of Synaptic Efficacies through Norepinephrine

       • O. Hoshino

       Pages 70-73

   18. Associative Memories with Small World Connectivity

       • Neil Davey, Lee Calcraft, Bruce Christianson, Rod Adams

       Pages 74-77

   19. A Memory-Based Reinforcement Learning Model Utilizing Macro-Actions

       • Makoto Murata, Seiichi Ozawa

       Pages 78-81

The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.

• Performance
• algorithms
• bioinformatics
• classification
• cognition
• computer security
• evolution
• evolutionary computation
• genetic algorithm
• genetic programming
• heuristics
• image processing
• machine learning
• natural computing
• optimization

• Departamento de Engenharia Informática, Universidade de Coimbra, Coimbra, Portugal

  Bernardete Ribeiro

• Institut für Informatik, Universität Innsbruck, Innsbruck, Austria

  Rudolf F. Albrecht

• Fakulteta za Računalništvo in Informatiko, Univerza v Ljubljani, Ljubljana, Slovenia

  Andrej Dobnikar

• Equipe Universitaire de Recherche en Informatique de Saint-Etienne (Groupe de Recherche de Roanne) Institut Universitaire de Technologie de Roanne, Université Jean Monnet, Saint-Etienne, France

  David W. Pearson

• Division of Mathematics School of Mathematical and Information Sciences, Coventry University, Coventry, UK

  Nigel C. Steele

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