Interest in using artificial neural networks (ANNs) for forecasting has led to a tremendous
surge in research activities in the past decade. While ANNs provide a great deal of promise, …

In this paper, we present a general framework for understanding the role of artificial neural
networks (ANNs) in bankruptcy prediction. We give a comprehensive review of neural …

The selective catalytic reduction (SCR) of NO x with NH 3 to N 2 with supported V 2 O 5 (‐WO
3 )/TiO 2 catalysts is an industrial technology used to mitigate toxic emissions. Long‐…

… Customer satisfaction was assessed using a three-item scale (eg, Overall, I feel that my
customers are satisfied with my performance) with strong reliability (α = .85) that captured …

Samples of the carbonaceous asteroid Ryugu were brought to Earth by the Hayabusa2
spacecraft. We analyzed 17 Ryugu samples measuring 1 to 8 millimeters. Carbon dioxide–…

This study presents an experimental evaluation of neural networks for nonlinear time-series
forecasting. The effects of three main factors — input nodes, hidden nodes and sample size, …

… Hu, and Wayne Y. Lee … Hu is professor of marketing at Kent State University and the
Chinese University of Hong Kong. Wayne Y. Lee is the Alice L. …

Neural networks have successfully been used for exchange rate forecasting. However, due
to a large number of parameters to be estimated empirically, it is not a simple task to select …

Using the transaction cost framework, this paper examines the determinants of entry mode
choice by multinationals and the impact of the entry mode choice on performance in a unified …

Iron is the most abundant transition-metal element in the mantle and therefore plays an
important role in the geochemistry and geodynamics of the Earth's interior 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 …