In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a
pattern recognition problem. LiAENN is a novel computational neural model of the emotional …

A review of structural control focused on controllers is presented here. Several essential
considerations must be addressed while designing a controller for the semi-active control …

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 …

Abstract In mammalians, brain Limbic System is responsible for emotional process. An
important part of motor learning as well as attention is formed by the system. Brain Emotional …

Adaptive decayed brain emotional learning (ADBEL) network is recently proposed for the
online time series forecasting problems. As opposed to other popular learning networks …

Brain emotional learning (BEL) methods are a recently developed class of emotional brain-
inspired algorithms, that enjoy feed-forward computational complexity on the order of O (n) …

In the two-coupled distillation column process, kee** the tray temperatures within a
specified range around their steady state values assures the specifications for top and …

In this paper we propose the supervised version of neuro-based computational model of
brain emotional learning (BEL). In mammalian brain, the limbic system processes emotional …