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[HTML][HTML] A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River
E Olyaie, HZ Abyaneh, AD Mehr - Geoscience Frontiers, 2017 - Elsevier
Most of the water quality models previously developed and used in dissolved oxygen (DO)
prediction are complex. Moreover, reliable data available to develop/calibrate new DO …
prediction are complex. Moreover, reliable data available to develop/calibrate new DO …
A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction
Complex vortex flow patterns around bridge piers, especially during floods, cause scour
process that can result in the failure of foundations. Abutment scour is a complex three …
process that can result in the failure of foundations. Abutment scour is a complex three …
GMDH based back propagation algorithm to predict abutment scour in cohesive soils
In this study, group method of data handling (GMDH) network is used to predict abutments
scour depth of bridges which have been embedded in two types of montmorillonite and …
scour depth of bridges which have been embedded in two types of montmorillonite and …
Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling
In the present study, the Group method of data handling (GMDH) network was utilized to
predict the scour depth below pipelines. GMDH network was developed using back …
predict the scour depth below pipelines. GMDH network was developed using back …
Abutment scour in clear-water and live-bed conditions by GMDH network
In the present study, the Group Method of Data Handling (GMDH) network has been utilized
to predict abutments scour depth for both clear-water and live-bed conditions. The GMDH …
to predict abutments scour depth for both clear-water and live-bed conditions. The GMDH …
Application of developed new artificial intelligence approaches in civil engineering for ultimate pile bearing capacity prediction in soil based on experimental datasets
In this study, a neural-fuzzy (NF) system is combined with group method of data handling
(GMDH) in order to estimate the axial bearing capacity of driven piles. To reach optimum …
(GMDH) in order to estimate the axial bearing capacity of driven piles. To reach optimum …
Monthly pan evaporation modeling using linear genetic programming
This study compares the accuracy of linear genetic programming (LGP), fuzzy genetic (FG),
adaptive neuro-fuzzy inference system (ANFIS), artificial neural networks (ANN) and …
adaptive neuro-fuzzy inference system (ANFIS), artificial neural networks (ANN) and …
Bagged neural network for estimating the scour depth around pile groups
Contrary to the single pier, due to the complexity of the scour mechanism around pile
groups, empirical methods do not give a satisfactory prediction for the scour depth around …
groups, empirical methods do not give a satisfactory prediction for the scour depth around …
Pier scour monitoring system by bed-level image tracking
WY Chang, LAI Jihn-Sung, YU Teng-Yi… - International Journal of …, 2014 - Elsevier
A scour monitoring system with a micro camera tracking the bed-level images is proposed in
this study. Two image recognition algorithms have been developed to support the bed-level …
this study. Two image recognition algorithms have been developed to support the bed-level …
Machine Learning-Based Approach for Modelling Soil-Structure Interaction Effects on Reinforced Concrete Structures Subjected to Earthquake Excitations
In the chapter, the authors develop a machine learning (ML)-based model that has the
potential to make rapid predictions for seismic responses with SSI effects and determine the …
potential to make rapid predictions for seismic responses with SSI effects and determine the …