Evolutionary neural networks for nonlinear dynamics modeling

  • I. De Falco
  • A. Iazzetta
  • P. Natale
  • E. Tarantino
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1498)


In this paper the evolutionary design of a neural network model for predicting nonlinear systems behavior is discussed. In particular, the Breeder Genetic Algorithms are considered to provide the optimal set of synaptic weights of the network. The feasibility of the neural model proposed is demonstrated by predicting the Mackey-Glass time series. A comparison with Genetic Algorithms and Back Propagation learning technique is performed.


Time Series Prediction Artificial Neural Networks Genetic Algorithms Breeder Genetic Algorithms 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • I. De Falco
    • 1
  • A. Iazzetta
    • 1
  • P. Natale
    • 1
  • E. Tarantino
    • 1
  1. 1.Research Institute on Parallel Information Systems (IRSIP)National Research Council of Italy (CNR)NaplesItaly

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