Genetic Programming for Inductive Inference of Chaotic Series (Contributo in volume (capitolo o saggio))

Type
Label
  • Genetic Programming for Inductive Inference of Chaotic Series (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2006-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1007/11676935_19 (literal)
Alternative label
  • De Falco Ivanoe, Della Cioppa Antonio, Passaro Alessandro, Tarantino Ernesto (2006)
    Genetic Programming for Inductive Inference of Chaotic Series
    Springer-Verlag, Berlin Heidelberg (Germania) in (Fuzzy Logic and Applications: 6th International Workshop, WILF 2005, 2006
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • De Falco Ivanoe, Della Cioppa Antonio, Passaro Alessandro, Tarantino Ernesto (literal)
Pagina inizio
  • 156 (literal)
Pagina fine
  • 163 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • (Fuzzy Logic and Applications: 6th International Workshop, WILF 2005 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 3849 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 3849 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Fuzzy Logic and Applications: 6th International Workshop, WILF 2005, Crema, Italy, September 15-17, 2005, Revised Selected Papers, Editors: Isabelle Bloch, Alfredo Petrosino, Andrea G.B. Tettamanzi, Springer Verlag, ISBN: 3-540-32529-8, DOI: 10.1007/11 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Note
  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 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 Department of Computer Science, University of Pisa, Largo B. Pontecorvo 3, 56127 Pisa, Italy (literal)
Titolo
  • Genetic Programming for Inductive Inference of Chaotic Series (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 3-540-32529-8 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • I. Bloch, A. Petrosino, and A.G.B. Tettamanzi (Eds.) (literal)
Abstract
  • In the context of inductive inference Solomonoff complexity plays a key role in correctly predicting the behavior of a given phenomenon. Unfortunately, Solomonoff complexity is not algorithmically computable. This paper deals with a Genetic Programming approach to inductive inference of chaotic series, with reference to Solomonoff complexity, that consists in evolving a population of mathematical expressions looking for the `optimal' one that generates a given series of chaotic data. Validation is performed on the Logistic, the Henon and the Mackey-Glass series. The results show that the method is effective in obtaining the analytical expression of the first two series, and in achieving a very good approximation and forecasting of the Mackey-Glass series. (literal)
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