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Genetic Synthesis of Task-Oriented Neural Networks

  • Andrej Dobnikar

Abstract

A stochastic search technique based on genetic algorithms for design of task-oriented neural networks is described in the paper. Although the theory of the algorithms is clear, its implementation in the design of neural structures is not yet well investigated. With the help of two case studies, we want to outline the new design approach.

Keywords

Genetic Algorithm Genetic Operator Excitatory Input Inhibitory Input Evolution Procedure 
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 1995

Authors and Affiliations

  • Andrej Dobnikar
    • 1
  1. 1.Faculty of Electrical Engineering and Computer ScienceUniversity of LjubljanaLjubljanaSlovenia

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