Vehicle electrification has been proven to be an efficient way to reduce carbon dioxide
emissions and solve the energy crisis. Lithium-ion batteries (LiBs) are considered the …

Surrogate modeling, also called metamodeling, has evolved and been extensively used
over the past decades. A wide variety of methods and tools have been introduced for …

Recent breakthroughs in artificial intelligence (AI), and particularly in deep learning (DL),
have created tremendous excitement and opportunities in the earth and environmental …

In recent times, machine learning has become increasingly prominent in predictive
toxicology as it has shifted from in vivo studies toward in silico studies. Currently, in vitro …

The single-layer perceptron, introduced by Rosenblatt in 1958, is one of the earliest and
simplest neural network models. However, it is incapable of classifying linearly inseparable …

The noise reduction effect of singular value decomposition (SVD) relies on the selection of
effective singular values. The characteristic of singular values of normal signal and noise …

This paper considers the approximation of sufficiently smooth multivariable functions with a
multilayer perceptron (MLP). For a given approximation order, explicit formulas for the …

In this paper, traditional single-hidden layer feedforward network (SLFN) is extended to
novel generalized SLFN (GSLFN) by employing polynomial functions of inputs as output …

In this paper methodologies are proposed to estimate the number of hidden neurons that are
to be placed numbers in the hidden layer of artificial neural networks (ANN) and certain new …

Feedforward neural network is one of the most commonly used function approximation
techniques and has been applied to a wide variety of problems arising from various …