Artificial Neural Networks and Genetic Algorithms

  • François E. Cellier

Abstract

In Chapters 12 and 13, we have looked at mechanisms that might lead to an emulation of human reasoning capabilities. We approached this problem from a macroscopic point of view. In this chapter, we shall approach the same problem from a microscopic point of view, i.e., we shall try to emulate learning mechanisms as they are believed to take place at the level of neurons of the human brain and evolutionary adaptation mechanisms as they are hypothesized to have shaped our genetic code.

Keywords

Genetic Algorithm Artificial Neural Network Hide Layer Weighting Matrice Adaptive Controller 
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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Copyright information

© Springer Science+Business Media New York 1991

Authors and Affiliations

  • François E. Cellier
    • 1
  1. 1.Department of Electrical and Computer Engineering and Applied Mathematics ProgramUniversity of ArizonaTucsonUSA

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