An evolutionary program for the identification of dynamical systems

Created by W.Langdon from gp-bibliography.bib Revision:1.7810

@InProceedings{angeline:1997:spie,

• author = "Peter J. Angeline and David B. Fogel",
• title = "An evolutionary program for the identification of dynamical systems",
• booktitle = "Application and Science of Artificial Neural Networks III",
• year = "1997",
• editor = "S. Rogers",
• volume = "3077",
• pages = "409--417",
• publisher_address = "Bellingham, WA, USA",
• organisation = "SPIE-The International Society for Optical Engineering",
• keywords = "genetic algorithms, genetic programming, evolutionary computation, evolutionary programming, system identification, dynamical systems, optimization",
• URL = "http://www.natural-selection.com/Library/1997/spie97.pdf",
• DOI = "doi:10.1117/12.271503",
• size = "9 pages",
• abstract = "Various forms of neural networks have been applied to the 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 an 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",

}

Genetic Programming entries for Peter John Angeline David B Fogel

Citations