[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 …

A comparison between advanced hybrid machine learning algorithms and empirical equations applied to abutment scour depth prediction

K Khosravi, ZS Khozani, L Mao - Journal of Hydrology, 2021 - Elsevier
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 …

GMDH based back propagation algorithm to predict abutment scour in cohesive soils

M Najafzadeh, GA Barani, MRH Kermani - Ocean Engineering, 2013 - Elsevier
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 …

Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling

M Najafzadeh, GA Barani, HM Azamathulla - Neural Computing and …, 2014 - Springer
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 …

Abutment scour in clear-water and live-bed conditions by GMDH network

M Najafzadeh, GA Barani… - Water Science and …, 2013 - iwaponline.com
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 …

Application of developed new artificial intelligence approaches in civil engineering for ultimate pile bearing capacity prediction in soil based on experimental datasets

H Harandizadeh, V Toufigh - Iranian Journal of Science and Technology …, 2020 - Springer
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 …

Monthly pan evaporation modeling using linear genetic programming

A Guven, O Kisi - Journal of Hydrology, 2013 - Elsevier
This study compares the accuracy of linear genetic programming (LGP), fuzzy genetic (FG),
adaptive neuro-fuzzy inference system (ANFIS), artificial neural networks (ANN) and …

Bagged neural network for estimating the scour depth around pile groups

R Hosseini, R Fazloula, M Saneie… - International journal of …, 2018 - Taylor & Francis
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 …

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 …

Machine Learning-Based Approach for Modelling Soil-Structure Interaction Effects on Reinforced Concrete Structures Subjected to Earthquake Excitations

H Pollayi, P Bandaru, P Rao - Handbook of Research on Applied …, 2023 - igi-global.com
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 …