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M. L. P. Optimal Topology via Genetic Algorithms

  • P. Arena
  • R. Caponetto
  • L. Fortuna
  • M. G. Xibilia

Abstract

In the paper a Genetic Algorithm in order to select the optimal topology of a Multi Layer Perceptron is adopted. Two different problems are considered. The first one is to select the optimal number of neurons in a structure with one hidden layer. The second one is the choice of the number of layers into which a fixed number of neurons has to be arranged, to solve a given problem. To this aim, a suitable set of genetic operators has been introduced.

Keywords

Genetic Algorithm Hide Layer Optimal Topology Testing Phase Genetic Operator 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag/Wien 1993

Authors and Affiliations

  • P. Arena
    • 1
  • R. Caponetto
    • 1
  • L. Fortuna
    • 1
  • M. G. Xibilia
    • 1
  1. 1.Dipartimento Elettrico Elettronico e SistemisticoUniversita’ di CataniaCataniaItaly

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