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4 April 1997 Evolutionary program for the identification of dynamical systems
Peter J. Angeline, David B. Fogel
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Proceedings Volume 3077, Applications and Science of Artificial Neural Networks III; (1997) https://doi.org/10.1117/12.271503
Event: AeroSense '97, 1997, Orlando, FL, United States
Abstract
Various forms of neural networks have been applied to identification of non-linear dynamical systems. In most of these methods, the network architecture is set prior to training. In this paper, a method that evolves a symbolic solution for plant models is described. This method uses a evolutionary program to manipulate collections of parse trees expressed in a task specific language. Experiments performed on two unknown plants show this method is competitive with those that train neural networks for similar problems.
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Peter J. Angeline and David B. Fogel "Evolutionary program for the identification of dynamical systems", Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); https://doi.org/10.1117/12.271503
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KEYWORDS
Dynamical systems
Neural networks
Network architectures
Systems modeling
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