The nonadditive entropy S q has been introduced in 1988 focusing on a generalization of
Boltzmann–Gibbs (BG) statistical mechanics. The aim was to cover a (possibly wide) class of …

This paper presents the first hydrological implementation of Emotional Artificial Neural
Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall …

Blasting is the live wire of mining and its operations, with air overpressure (AOp) recognised
as an end product of blasting. AOp is known to be one of the most important environmental …

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 …

In this article, the brain emotional learning-based pattern recognizer (BELPR) is proposed to
solve multiple input–multiple output classification and chaotic time series prediction …

The collected current by spherical and cylindrical Langmuir probes immersed in an
unmagnetized and collisionless non-Maxwellian plasma at rest are theoretically studied …

This study models solar irradiance at six stations in Iran and the USA on an hourly scale. We
explored two seasonal emotional artificial neural networks (EANN): sequence-EANN …

We investigate Tsallis q-statistics for various complex physical systems. In particular, the
Tsallis q-triplet is estimated for space plasmas, atmospheric dynamics, seismicity, and brain …

In this small review, the theoretical framework of non-extensive statistical theory, introduced
by Constantino Tsallis in 1988, is presented in relation with the q-triplet estimation …