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RISMedium-Term Urban Water Demand Forecasting with Limited Data Using an Ensemble Wavelet–Bootstrap Machine-Learning Approach
Publisher: American Society of Civil Engineers
Abstract: Accurate and reliable weekly and monthly water demand forecasting is important for effective and sustainable planning and use of urban water supply infrastructure. This study explored a hybrid wavelet–bootstrap–artificial ...
Closure to “Evapotranspiration Modeling Using Second-Order Neural Networks” by Sirisha Adamala, N. S. Raghuwanshi, Ashok Mishra, and Mukesh K. Tiwari
Publisher: American Society of Civil Engineers
Evapotranspiration Modeling Using Second-Order Neural Networks
Publisher: American Society of Civil Engineers
Abstract: This study introduces the utility of the second-order neural network (SONN) method to model the reference evapotranspiration (
River-Flow Forecasting Using Higher-Order Neural Networks
Publisher: American Society of Civil Engineers
Abstract: In this paper, we propose a novel neural modeling methodology for forecasting daily river discharge that makes use of neural units with higher-order synaptic operations (NU-HSOs). For hydrologic forecasting, conventional ...