z-logo
open-access-imgOpen Access
Prediction of chaotic time series based on selective support vector machine ensemble
Author(s) -
物理学报
Publication year - 2007
Publication title -
acta physica sinica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.56.6820
Subject(s) - chaotic , series (stratigraphy) , computer science , support vector machine , lorenz system , statistical physics , time series , mathematics , algorithm , artificial intelligence , machine learning , physics , paleontology , biology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom