Abstract: In this research, a data-driven modeling approach, support vector machines (SVMs), is compared to artificial neural networks (ANNs) for predicting transient groundwater levels in a complex groundwater system under variable ...

Abstract: A fuzzy rule-based methodology is developed for estimating monthly groundwater recharge using the Toms River basin in New Jersey as a case study. As an alternative to a water budget approach, which depends upon ...