%0 Conference Paper %1 conf/sac/FalcoTCP05 %A De Falco, Ivan %A Tarantino, Ernesto %A Della Cioppa, Antonio %A Passaro, A. %B Proceedings of the 2005 ACM Symposium on Applied Computing (SAC) %C Santa Fe, New Mexico, USA %D 2005 %E Haddad, Hisham %E Liebrock, Lorie M. %E Omicini, Andrea %E Wainwright, Roger L. %I ACM %K Algorithms, Automatic Chaotic Experimentation, Inductive Programming, algorithms, genetic inference, programming, series %P 957--958 %T Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach %U http://doi.acm.org/10.1145/1066677.1066897 %X 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. %@ 1-58113-964-0

@inproceedings{conf/sac/FalcoTCP05, 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.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Santa Fe, New Mexico, USA}, author = {{De Falco}, Ivan and Tarantino, Ernesto and {Della Cioppa}, Antonio and Passaro, A.}, bibdate = {2006-02-10}, bibsource = {DBLP, http://dblp.uni-trier.de/db/conf/sac/sac2005.html#FalcoTCP05}, biburl = {https://www.bibsonomy.org/bibtex/2bd329714a678da4011dd3c9a3d316e3a/brazovayeye}, booktitle = {Proceedings of the 2005 ACM Symposium on Applied Computing (SAC)}, editor = {Haddad, Hisham and Liebrock, Lorie M. and Omicini, Andrea and Wainwright, Roger L.}, interhash = {4a21149fe0619dc589050933dbc8b10d}, intrahash = {bd329714a678da4011dd3c9a3d316e3a}, isbn = {1-58113-964-0}, keywords = {Algorithms, Automatic Chaotic Experimentation, Inductive Programming, algorithms, genetic inference, programming, series}, month = {March 13-17}, organisation = {ACM}, pages = {957--958}, publisher = {ACM}, size = {2 pages}, timestamp = {2008-06-19T17:38:30.000+0200}, title = {Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach}, url = {http://doi.acm.org/10.1145/1066677.1066897}, year = 2005 }