Bayesian Regression and Neuro-Fuzzy Methods Reliability Assessment for Estimating Streamflow

Bayesian Regression and Neuro-Fuzzy Methods Reliability Assessment for Estimating Streamflow

Accurate and efficient estimation of streamflow in a watershed’s tributaries is prerequisite parameter for viable water resources management. This study couples process-driven and data-driven methods of streamflow forecasting as a more efficient and cost-effective approach to water resources planning and management. Two data-driven methods, Bayesian regression and adaptive neuro-fuzzy inference...

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM AND STEPWISE REGRESSION FOR COMPRESSIVE STRENGTH ASSESSMENT OF CONCRETE CONTAINING METAKAOLIN

In the current study two methods are evaluated for predicting the compressive strength of concrete containing metakaolin. Adaptive neuro-fuzzy inference system (ANFIS) model and stepwise regression (SR) model are developed as a reliable modeling method for simulating and predicting the compressive strength of concrete containing metakaolin at the different ages. The required data in training an...

Bayesian Methods for Estimating System Reliability Using Heterogeneous Multilevel Information

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Automated Methods for Estimating Baseflow from Streamflow Records in a Semi Arid Watershed

Understanding of the runoff generation processes is important in understanding the magnitude and dynamics ofgroundwater discharge. However, these processes continue to be difficult to quantify and conceptualize. In this study,two digital filter based separation modules, the Recursive filtering method (RDF) and a generalization of therecursive digital filter (GRDF) were1991–2002 in the Hableh Ro...

Neuro-Fuzzy Methods