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Application of artificial neural networks for hydrological modelling in karst
(Union of Croatian Civil Engineers and Technicians, 2018)
The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural ...
Evaluation of methods for predicting axial capacity of jacked-in and driven piles in cohesive soils
(Union of Croatian Civil Engineers and Technicians, 2018)
This paper presents the evaluation of methods for predicting the ultimate axial bearing capacity of single piles based on the cone penetration test (CPT) results, and the evaluation of static methods based on the effective ...