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Comparison of Multivariate Regression and Artificial Neural Networks for Peak Urban Water-Demand Forecasting: Evaluation of Different ANN Learning Algorithms
Publisher: American Society of Civil Engineers
Abstract: For the past several years, Cyprus has been facing an unprecedented water crisis. Four options that have been considered to help resolve the problem of drought in Cyprus include imposing effective water use restrictions, ...
Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India
Publisher: American Society of Civil Engineers
Predicting Triaxial Compressive Strength and Young’s Modulus of Frozen Sand Using Artificial Intelligence Methods
Publisher: American Society of Civil Engineers
Abstract: Mechanical properties of frozen soils (e.g., triaxial compressive strength, σtc and Young’s modulus, E) are important in tunnel, shaft, or open pit excavation projects. Although numerous attempts have been made to ...
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