Time series modeling and forecasting has fundamental importance to various practical
domains. Thus a lot of active research works is going on in this subject during several years …

Canada is the world's largest producer of lentils, accounting for 32.8% of total production in
the world. However, the production of lentils are prone to fluctuate due to the impact of …

Both statistical and neural methods have been proposed in the literature to predict
healthcare expenditures. However, less attention has been given to comparing predictions …

The liberalization of the power markets gained a remarkable momentum in the context of
trading electricity as a commodity. With the upsurge in restructuring of the power markets …

Most investors change stock prices in long-term businesses because of global turbulence in
the markets. Consequently, prediction of stock price is a difficult task because of unknown …

In this study, we explore three aspects which characterize artificial neural network (ANN)
hindcasting of a daily stream flow time series:(1) the effects of preprocessing the data …

A membrane sequencing batch reactor (MSBR) treating hypersaline oily wastewater was
modeled by artificial neural network (ANN). The MSBR operated at different total dissolved …

In this paper, artificial neural networks (ANNs) combined with sensitivity analysis was
applied to predict greenhouse tomato yield (Lycopersicon esculentum Mill.) and bring out …

Accurate forecasting of solar irradiance is a key issue for planning and management of
renewable solar energy production technologies. The present paper aims to propose new …

Abstract The Little Akaki River is one of the most polluted Rivers in Ethiopia as reported on
many studies. These studies, however, mainly used concentration measurement of certain …