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Artificial Neural Nets and Genetic Algorithms

Proceedings of the International Conference in Portorož, Slovenia, 1999

  • Andrej Dobnikar
  • Nigel C. Steele
  • David W. Pearson
  • Rudolf F. Albrecht

Table of contents

  1. Front Matter
    Pages I-X
  2. Plenary talks

  3. Neural Networks – Theory and Applications

    1. Dan Ventura, Tony Martinez
      Pages 22-27
    2. Alexis Quesada-Arencibia, Miguel Alemán-Flores, Roberto Moreno-Diaz Jr.
      Pages 28-34
    3. David McLean, Zuhair Bandar, Jim O’Shea
      Pages 35-39
    4. Michael Fairbank, Andrew Tuson
      Pages 46-51
    5. Fa-Long Luo, Rolf Unbehauen, Tertulien Ndjountche
      Pages 59-66
    6. Horst Bischof, Aleš Leonardis
      Pages 78-85
    7. Michael Korkin, Hugo de Garis, N. Eiji Nawa, William Dee Rieken
      Pages 107-110
    8. Uroš Lotrič, Andrej Dobnikar
      Pages 121-126
    9. I. Kajitani, M. Murakawa, N. Kajihara, M. Iwata, H. Sakanashi, T. Higuchi
      Pages 127-134
    10. Branko Šter, Andrej Dobnikar
      Pages 161-165
    11. Mira Trebar, Andrej Dobnikar
      Pages 166-171
    12. M. Sanguineti, K. Hlaváčková-Schindler
      Pages 172-177
  4. Genetic – Theory and Applications

    1. Z. Bandar, H. Al-Attar, K. Crockett
      Pages 187-190
    2. Keeley A. Crockett, Zuhair Bandar, Akeel Al-Attar
      Pages 191-195
    3. A. Webb, B. C. H. Turton, J. M. Brown
      Pages 202-207
    4. Colin R. Reeves, Ping Dai
      Pages 208-213
    5. Lamine Ngom, Claude Baron, André Cabarbaye, Jean-Claude Geffroy, Linda Tomasini
      Pages 214-219
    6. T. Kalganova, G. Russell, A. Cumming
      Pages 220-228
    7. Somnuk Phon-Amnuaisuk, Andrew Tuson, Geraint Wiggins
      Pages 229-234
    8. Márton-Ernő Balázs
      Pages 244-247
    9. Subbiah Baskaran, David Noever
      Pages 256-261
    10. Jason Morrison, Franz Oppacher
      Pages 262-268
    11. Primož Potočnik, Igor Grabec
      Pages 269-273
  5. Soft Computing and Uncertainty

About these proceedings

Introduction

From the contents: Neural networks – theory and applications: NNs (= neural networks) classifier on continuous data domains– quantum associative memory – a new class of neuron-like discrete filters to image processing – modular NNs for improving generalisation properties – presynaptic inhibition modelling for image processing application – NN recognition system for a curvature primal sketch – NN based nonlinear temporal-spatial noise rejection system – relaxation rate for improving Hopfield network – Oja's NN and influence of the learning gain on its dynamics Genetic algorithms – theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) – GA for decision tree induction – optimising decision classifications using GAs – scheduling tasks with intertask communication onto multiprocessors by GAs – design of robust networks with GA – effect of degenerate coding on GAs – multiple traffic signal control using a GA – evolving musical harmonisation – niched-penalty approach for constraint handling in GAs – GA with dynamic population size – GA with dynamic niche clustering for multimodal function optimisation Soft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading – evolutionary programming of near optimal NNs

Keywords

algorithms classification genetic algorithms image processing learning modeling optimization proving sketch uncertainty

Authors and affiliations

  • Andrej Dobnikar
    • 1
  • Nigel C. Steele
    • 2
  • David W. Pearson
    • 3
  • Rudolf F. Albrecht
    • 4
  1. 1.Fakulteta za Računalništvo in InformatikoUniverza v LjubljaniLjubljanaSlovenia
  2. 2.Division of Mathematics, School of Mathematical and Information SciencesCoventry UniversityCoventryUK
  3. 3.Laboratoire de Génie Informatique et Ingénierie de ProductionEcole pour les Etudes et la Recherche en Informatique et ElectroniqueNimesFrance
  4. 4.Institut für InformatikUniversität InnsbruckInnsbruckAustria

Bibliographic information