This survey paper contains a review of the past and recent developments in system
identification of nonlinear dynamical structures. The objective is to present some of the …

Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …

Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

This article presents a comprehensive overview of the hardware realizations of artificial
neural network (ANN) models, known as hardware neural networks (HNN), appearing in …

An accurate State-of-Charge (SoC) estimation plays a significant role in battery systems
used in electric vehicles due to the arduous operation environments and the requirement of …

Wind speed forecasting is important for the security of wind power integration. Based on the
theories of wavelet, wavelet packet, time series analysis and artificial neural networks, three …

As the big data, Internet of Things, cloud computing, and other ideas and technologies are
integrated into social life, the big data technology can improve the corporate financial data …

In this paper, an online self-organizing fuzzy modified least-square (SOFMLS) network is
proposed. The algorithm has the ability to reorganize the model and adapt itself to a …

An organization has to make the right decisions in time depending on demand information to
enhance the commercial competitive advantage in a constantly fluctuating business …

The paper presents the application of support vector regression (SVR) to accurate
forecasting of the tangential displacement of a concrete dam. The SVR nonlinear …