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2. Assessment of sediment transport approaches for sand-bed rivers by means of machine learning.
3. Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm.
4. Bias compensation in flood frequency analysis.
5. Monthly rainfall-runoff modelling using artificial neural networks.
6. Estimation of strength parameters of rock using artificial neural networks.
7. Intelligent computing for modeling axial capacity of pile foundations.
8. Efficiency of pile groups installed in cohesionless soil using artificial neural networks.
9. The applicability of neural networks in the determination of soil profiles
10. Predicting total trihalomethane formation in finished water using artificial neural networks.
11. Development of artificial neural network and multiple linear regression models in the prediction process of the hot mix asphalt properties.
12. Analysis of rainfall and large-scale predictors using a stochastic model and artificial neural network for hydrological applications in southern Africa.
13. Dynamic factor analysis and artificial neural network for estimating pan evaporation at multiple stations in northern Taiwan.
14. Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers.
15. Comparison of data-driven modelling techniques for river flow forecasting.
16. Effect of watershed subdivision on water-phase phosphorus modelling: An artificial neural network modelling application.
17. Artificial neural networks approach for swell pressure versus soil suction behaviour.
18. Detecting heavy metal contamination in soil using complex permittivity and artificial neural networks.
19. A case study from Koyulhisar (Sivas-Turkey) for landslide susceptibility mapping by artificial neural networks
20. Statistical and neural network assessment of the compression index of clay-bearing soils
21. An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition.
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