Nonlinear techniques for forecasting solar activity directly from its time seriesThis paper presents numerical techniques for constructing nonlinear predictive models to forecast solar flux directly from its time series. This approach makes it possible to extract dynamical in variants of our system without reference to any underlying solar physics. We consider the dynamical evolution of solar activity in a reconstructed phase space that captures the attractor (strange), give a procedure for constructing a predictor of future solar activity, and discuss extraction of dynamical invariants such as Lyapunov exponents and attractor dimension.
Document ID
19930015527
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Ashrafi, S. (Computer Sciences Corp. Lanham, MD., United States)
Roszman, L. (Computer Sciences Corp. Lanham, MD., United States)
Cooley, J. (NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
September 6, 2013
Publication Date
February 1, 1993
Publication Information
Publication: Flight Mechanics(Estimation Theory Symposium, 1992