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 …

Human-robot emotional interaction has developed rapidly in recent years, in which speech
emotion recognition plays a significant role. In this paper, a speech emotion recognition …

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 …

This research presents a control structure for an omni-wheel mobile robot (OWMR). The
control structure includes the path planning module and the motion control module. In order …

This paper presents a neuro-fuzzy (NF) networks based scheme for fault detection and
isolation (FDI) of a U-tube steam generator (UTSG) in a nuclear power plant. Two types of …

Universal approximation, continuity, and differentiability are desirable properties of any
computational framework, including those that rise from human cognition and/or are inspired …

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 …

Control algorithms are the most crucial aspects in effective control of civil structures exposed
to earthquake forces. Recently, adaptive intelligent control algorithms are evolving to be a …

The increasing complexity of modern plant systems and the limitations of precise
mathematical modeling have led to a shift towards data-driven control methods. These …

In this paper, we investigate the real-time flocking control of Multi-Agent Systems (MAS) in
the presence of system uncertainties and dynamic environment. To handle the impacts from …