Name
Title | ||
|---|---|---|
Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach |
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1145/1066677.1066897 | SAC |
Keywords | Field | DocType |
genetic programming approach,solomonoff-based approach,chaotic series,chaotic data series,mathematical expression,mackey-glass series,inductive inference,analytical expression,solomonoff complexity,good result,genetic programming | Population,Inductive reasoning,Expression (mathematics),Computer science,Inductive probability,Genetic programming,Solomonoff's theory of inductive inference,Data series,Artificial intelligence,Chaotic | Conference |
ISBN | Citations | PageRank |
1-58113-964-0 | 1 | 0.43 |
References | Authors | |
1 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| I De Falco | 1 | 314 | 16.62 |
| Ernesto Tarantino | 2 | 361 | 42.45 |
| A Della Cioppa | 3 | 387 | 22.13 |
| A. Passaro | 4 | 2 | 0.82 |