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Dynamic GMDH Type Neural Networks

  • Marcin Mrugalski
  • Eugen Arinton
  • Józef Korbicz
Part of the Advances in Soft Computing book series (AINSC, volume 19)

Summary

This paper presents a new identification method based on Artificial Neural Networks (ANNs) which can be used for both static and dynamic systems. In particular, a Group Method of Data Handling (GMDH) type neural network with dynamic neurons is considered. The final part of this work contains an illustrative example regarding an application of the proposed approach to the real system identification task.

Keywords

Quality Index Infinite Impulse Response Linear Dynamic System Filter Module Dynamic Neuron 
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-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Marcin Mrugalski
    • 1
  • Eugen Arinton
    • 1
  • Józef Korbicz
    • 1
  1. 1.Institute of Control and Computation EngineeringUniversity of Zielona GóraZielona GóraPoland

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