Neural Methodology for Prediction and Identification of Non-linear Dynamic Systems

  • Authors:

  • C. Alippi;V Piuri

  • Affiliations:

  • -;-

  • Venue:
  • NICROSP '96 Proceedings of the 1996 International Workshop on Neural Networks for Identification, Control, Robotics, and Signal/Image Processing (NICROSP '96)
  • Year:
  • 1996

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Abstract

Abstract: A structured design methodology is introduced to support and guide the designer in using neural techniques to identify and predict complex dynamic nonlinear systems.