The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …

Microgrids (MGs) are building blocks of smart power systems formed by integrating local
power generation resources, energy storage systems (ESSs), and power-consuming units …

In this paper, an architecture based on the anatomical structure of the emotional network in
the brain of mammalians is applied as a prediction model for chaotic time series studies. The …

This paper presents a new architecture based on a brain emotional learning model that can
be used in a wide varieties of AI applications such as prediction, identification and …

This paper proposes the use of empirical modeling techniques for building microarchitecture
sensitive models for compiler optimizations. The models we build relate program …

This study suggests a new prediction model for chaotic time series inspired by the brain
emotional learning of mammals. We describe the structure and function of this model, which …

This paper presents a modified model of brain emotional learning based fuzzy inference
system (BELFIS). It has been suggested to predict chaotic time series. We modify the BELFIS …

The exploration of human neurology has been integral to the development of machine
learning with neural networks. Initially inspired by the firing of neurons, neural network have …

In this thesis the mammalian nervous system and mammalian brain have been used as
inspiration to develop a computational intelligence model based on the neural structure of …

Accurate prediction of solar activity as one aspect of space weather phenomena is essential
to decrease the damage from these activities on the ground based communication, power …