Studies of complexity in extended dissipative dynamical systems, in nature and in
laboratory, require multiple approaches and the framework of self-organized criticality (SOC) …

This is a tutorial review on systems theory and its applications to space plasma physics and,
more broadly, on geophysics. With its basis on the state representation of a plasma the …

In this paper we propose adaptive brain-inspired emotional decayed learning to predict Kp,
AE and Dst indices that characterize the chaotic activity of the earth's magnetosphere by …

In this article, a brain-inspired winner-take-all emotional neural network (WTAENN)
architecture is proposed and then the universal approximation property for this kind of …

The behavior of substorms as sudden transitions of the magnetosphere is studied using the
Bargatze et al.[1985] data set of the solar wind induced electric field vBs and the auroral …

The multi criteria and purposeful prediction approach has been introduced and is
implemented by the fast and efficient behavioral based brain emotional learning method. On …

About 7-day (circaseptan) components, found at different levels of organization, notably in
relation to growth, regeneration, repair and development, are often viewed as reflecting no …

The nonlinear dependencies inherent to the historical Kp data stream (1932–2003) are
examined using mutual information and cumulant‐based cost as discriminating statistics …

The support vector machine (SVM) has been used to model solar wind‐driven geomagnetic
substorm activity characterized by the auroral electrojet (AE) index. The focus of the present …

In this paper strong evidence is provided for significant far from equilibrium phase transition
processes in the Earth's magnetosphere as revealed by the nonlinear analysis of in situ …