Inductive Inference of Chaotic Series by Genetic Programming: a Solomonoff-based Approach (Contributo in atti di convegno)

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Label
  • Inductive Inference of Chaotic Series by Genetic Programming: a Solomonoff-based Approach (Contributo in atti di convegno) (literal)
Anno
  • 2005-01-01T00:00:00+01:00 (literal)
Alternative label
  • DE FALCO I; A. DELLA CIOPPA; A. PASSARO; E. TARANTINO (2005)
    Inductive Inference of Chaotic Series by Genetic Programming: a Solomonoff-based Approach
    in ACM Symposium on Applied Computing (SAC2005), Santa Fe, New Mexico, USA, 13-17 Marzo 2005
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • DE FALCO I; A. DELLA CIOPPA; A. PASSARO; E. TARANTINO (literal)
Pagina inizio
  • 966 (literal)
Pagina fine
  • 967 (literal)
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  • Proceedings of the 2005 ACM Symposium on Applied Computing (SAC2005) (literal)
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  • 2 (literal)
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  • I. De Falco1, A. Della Cioppa2,A. Passaro3, and E. Tarantino1 1 Institute of High Performance Computing and Networking, National Research Council of Italy (ICAR-CNR) Via P. Castellino 111, 80131 Naples, ITALY 2 Natural Computation Lab - DIIIE, University of Salerno, Via Ponte don Melillo 1, 84084 Fisciano (SA), ITALY 3 DI, University of Pisa, Pisa, ITALY (literal)
Titolo
  • Inductive Inference of Chaotic Series by Genetic Programming: a Solomonoff-based Approach (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 1-58113-964-0 (literal)
Abstract
  • A Genetic Programming approach to inductive inference of chaotic series, with reference to Solomonoff complexity, is presented. It consists in evolving a population of mathematical expressions looking for the 'optimal' one that generates a given chaotic data series. Validation is performed on the Logistic, the Henon and the Mackey-Glass series. The method is shown effective in obtaining the analytical expression of the first two series, and in achieving very good results on the third one. (literal)
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