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Engineering Applications of Bio-Inspired Artificial Neural Networks

International Work-Conference on Artificial and Natural Neural Networks, IWANN'99, Alicante, Spain, June 2-4, 1999, Proceedings, Volume II

  • Conference proceedings
  • © 1999

Overview

Editors:
  1. José Mira
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  2. Juan V. Sánchez-Andrés
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1607)

Included in the following conference series:

Conference proceedings info: IWANN 1999.

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Table of contents (92 papers)

  1. Front Matter

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  2. A unified model for the simulation of artificial and biology-oriented neural networks

    • Alfred Strey
    Pages 1-10

  3. Weight freezing in constructive neural networks: A novel approach

    • Shahram Hosseini, Christian Jutten
    Pages 11-20

  4. Can general purpose micro-processors simulate neural networks in real-time?

    • Bertrand Granado, Lionel Lacassagne, Patrick Garda
    Pages 21-29

  5. Large neural net simulation under Beowulf-like systems

    • Carlos J. García Orellana, Francisco J. López, Horacio M. González Velasco, Miguel Macías Macías, M. Isabel Acevedo Sotoca
    Pages 30-39

  6. A constructive cascade network with adaptive regularisation

    • N. K. Treadgold, T. D. Gedeon
    Pages 40-49

  7. An agent-based operational model for hybrid connectionist-symbolic learning

    • José C. González, Juan R. Velasco, Carlos A. Iglesias
    Pages 50-57

  8. Optimal discrete recombination: Hybridising evolution strategies with the A algorithm

    • Carlos Cotta, José M. Troya
    Pages 58-67

  9. Extracting rules from artificial neural networks with kernel-based representations

    • José M. Ramírez
    Pages 68-77

  10. Rule improvement through decision boundary detection using sensitivity analysis

    • AP Engelbrecht, HL Viktor
    Pages 78-84

  11. The role of dynamic reconfiguration for implementing artificial neural networks models in programmable hardware

    • J. M. Moreno, J. Cabestany, E. Cantó, J. Faura, J. M. Insenser
    Pages 85-94

  12. An associative neural network and its special purpose pipeline architecture in image analysis

    • Ibarra Pico F., Cuenca Asensi S.
    Pages 95-106

  13. Effects of global perturbations on learning capability in a CMOS analogue implementation of synchronous Boltzmann machine

    • Kurosh Madani, Ghislain de Tremiolles
    Pages 107-116

  14. Beta-CMOS artificial neuron and implementability limits

    • Victor Varshavsky, Vyacheslav Marakhovsky
    Pages 117-128

  15. Using on-line arithmetic and reconfiguration for neuroprocessor implementation

    • Jean-Luc Beuchat, Eduardo Sanchez
    Pages 129-138

  16. Digital implementation of artificial neural networks: From VHDL description to FPGA implementation

    • N. Izeboudjen, A. Farah, S. Titri, H. Boumeridja
    Pages 139-148

  17. Hardware implementation using DSP's of the neurocontrol of a wheelchair

    • P. Martín, M. Mazo, L. Boquete, F. J. Rodríguez, I. Fernández, R. Barea et al.
    Pages 149-156

  18. Forward-backward parallelism in on-line backpropagation

    • Rafael Gadea Gironés, Antonio Mocholí Salcedo
    Pages 157-165

  19. A VLSI approach for spike timing coding

    • E. Ros, F. J. Pelayo, I. Rojas, F. J. Fernández, A. Prieto
    Pages 166-175

  20. An artificial dendrite using active channels

    • Eelco Rouw, Jaap Hoekstra, Arthur H. M. van Roermund
    Pages 176-187
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Other volumes

  1. Foundations and Tools for Neural Modeling

  2. Engineering Applications of Bio-Inspired Artificial Neural Networks

Keywords

About this book

This book constitutes, together with its compagnion LNCS 1606, the refereed proceedings of the International Work-Conference on Artificial and Neural Networks, IWANN'99, held in Alicante, Spain in June 1999.
The 91 revised papers presented were carefully reviewed and selected for inclusion in the book. This volume is devoted to applications of biologically inspired artificial neural networks in various engineering disciplines. The papers are organized in parts on artificial neural nets simulation and implementation, image processing, and engineering applications.

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