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Use of genetic algorithms in neural networks definition

  • Neural Network Architectures And Algorithms
  • Conference paper
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Artificial Neural Networks (IWANN 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 540))

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Abstract

At present, there is not a general methodology for neural network definition. In this work we propose an algorithm highly inspired on biological concepts for generating neural networks oriented to solve particular problems given on terms of input and output. With this algorithm we pretend to specify formal tools of general use for network definition, and to disclose underlying processing structures of the living organisms.

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References

  1. GOLDBERG, D., "Genetic algorithms" Addison-Wesley, 1989.

    Google Scholar 

  2. RIBCHESTER, R. R. "Molecule, nerve and embryo" Glasgow: Blackie & Son Ltd., 1986.

    Google Scholar 

  3. SAMPEDRO, M.N., "Plasticidad Sináptica" Investigación y Ciencia, 1988.

    Google Scholar 

  4. AOKI, Ch. & SIEKEVITZ, P., "Plasticidad en el desarrollo cerebral" Investigación y Ciencia, 1989.

    Google Scholar 

  5. BROWN, H., KAIRISS, E. & KEENAN, C., "Hebbian Synapses: Biophysical Mechanisms and Algorithms" Annu. Rev. Neurosci., 1990.

    Google Scholar 

  6. SEJNOWSKI, T. & TESAURO, G., "The Hebb rule for synaptic plasticity: Algorithms and implementations" in "Neural models of plasticity", pp. 94–103, Academic Press, Inc., 1989.

    Google Scholar 

  7. KLOPF, H., "Classical conditioning phenomena predicted by a Drive-Reinforcement model of neuronal function" in "Neural models of plasticity", pp. 104–132, Academic Press, Inc., 1989.

    Google Scholar 

  8. GODDARD, N.H. et al, "Rochester Connectionist Simulator", The University of Rochester (U.S.A.), October, 1989.

    Google Scholar 

  9. EDELMAN, G. M., "The Theory of Neuronal Group Selection" New York: Basic Books, 1987.

    Google Scholar 

  10. REEKE, G., SPORNS, O., & EDELMAN, G., "Synthetic Neural Modeling: The ‘Darwin’ series of Recognition Automata" Proc. IEEE, vol. 78, 1990.

    Google Scholar 

  11. KIMELBERG, H, & NORENBERG, M., "Astrocitos" Investigación y Ciencia, no 153, 1989.

    Google Scholar 

  12. BARNSLEY, M. F. — DEVANEY, R. L. — MANDELBROT, B. B. — PETTGEN, H. O., SAUPE, D. — VOSS, R. F., "The science of fractal images" New York: Springer-Verlag, 1988.

    Google Scholar 

  13. MANDELBROT, B. B., "Fractals: form, chance, and dimension" San Francisco: W. H. Freeman & Co., 1977.

    Google Scholar 

  14. MANDELBROT, B. B. 1983. "The fractal geometry of nature" San Francisco: W. H. Freeman & Co., 1983.

    Google Scholar 

  15. VICSEK, T., "Fractal growth phenomena" World Scientific, 1989.

    Google Scholar 

  16. GOLDBERGER, A. L., "Caos y fractales en la fisiología humana" Investigación y Ciencia, 163, 1990.

    Google Scholar 

  17. FREEMAN, W. J. "Fisiología de la percepción" Investigación y Ciencia, 175, 1991

    Google Scholar 

  18. HARRIS, W. & HOLT C., "Early events in the embryogenesis of the vertebrate system" Annu. Rev. Neurosci., 1990.

    Google Scholar 

  19. GOODMAN, C. & BASTIANI, M., "Reconocimiento mútuo entre neuronas embrionarias" Investigación y Ciencia, no 101, 1985.

    Google Scholar 

  20. CAMPOS-ORTEGA, J. & JIMENEZ, F., "Bases de la neurogénesis en Drosophila melanogaster" Investigación y Ciencia, no 132, 1987.

    Google Scholar 

  21. CHEN, W-K., "Theory of Nets" John Wiley & Sons, Inc., 1990.

    Google Scholar 

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Author information

Authors and Affiliations

  1. E. T. S. Ingenieros de Telecomunicación, Universidad de Málaga, Spain

    Francisco J. Vico & F. Sandoval

  2. Dpto. Tecnología Electrónica, Plaza El Ejido s/n, 29013, Málaga, España

    Francisco J. Vico & F. Sandoval

Authors
  1. Francisco J. Vico
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  2. F. Sandoval
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Editor information

Alberto Prieto

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© 1991 Springer-Verlag Berlin Heidelberg

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Vico, F.J., Sandoval, F. (1991). Use of genetic algorithms in neural networks definition. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035895

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  • DOI: https://doi.org/10.1007/BFb0035895

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54537-8

  • Online ISBN: 978-3-540-38460-1

  • eBook Packages: Springer Book Archive

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