A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance

(2019) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

A new methodology for optimization and prediction of rate of penetration during drilling operations

(2019) Yanru Zhao et al.   ENGINEERING WITH COMPUTERS

Optimization of ANFIS with GA and PSO estimating α ratio in driven piles

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile

(2019) Wusi Chen et al.   ENGINEERING WITH COMPUTERS

The effects of ABC, ICA, and PSO optimization techniques on prediction of ripping production

(2019) Edy Tonnizam Mohamad et al.   ENGINEERING WITH COMPUTERS

Optimizing an ANN model with genetic algorithm (GA) predicting load-settlement behaviours of eco-friendly raft-pile foundation (ERP) system

(2019) Longqi Liu et al.   ENGINEERING WITH COMPUTERS

A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction

(2019) T. Fikret Kurnaz et al.   Environmental Earth Sciences

Computational estimation of lateral pile displacement in layered sand using experimental data

(2019) Mahdy Khari et al.   MEASUREMENT

Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

(2019) Hui Chen et al.   Applied Sciences-Basel

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

(2019) Payam Sarir et al.   ENGINEERING WITH COMPUTERS

Feasibility of a novel predictive technique based on artificial neural network optimized with particle swarm optimization estimating pullout bearing capacity of helical piles

(2019) Bo Wang et al.   ENGINEERING WITH COMPUTERS

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

(2019) Hongquan Guo et al.   ENGINEERING WITH COMPUTERS

Prediction of Surface Treatment Effects on the Tribological Performance of Tool Steels Using Artificial Neural Networks

(2019) Liborio Cavaleri et al.   Applied Sciences-Basel

Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance

(2019) Jian Zhou et al.   Natural Resources Research

Estimating the friction angle of black shale core specimens with hybrid-ANN approaches

(2019) Zehui Shao et al.   MEASUREMENT

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

(2019) Jian Zhou et al.   SAFETY SCIENCE

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Investigation on the Cracking Character of Jointed Rock Mass Beneath TBM Disc Cutter

(2018) Haiqing Yang et al.   ROCK MECHANICS AND ROCK ENGINEERING

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

Effects of joints on the cutting behavior of disc cutter running on the jointed rock mass

(2018) H.Q. Yang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Predicting tunnel boring machine performance through a new model based on the group method of data handling

(2018) Mohammadreza Koopialipoor et al.   Bulletin of Engineering Geology and the Environment

Application of improved ANFIS approaches to estimate bearing capacity of piles

(2018) Hooman Harandizadeh et al.   SOFT COMPUTING

Applying several soft computing techniques for prediction of bearing capacity of driven piles

(2018) Sadulla Shaik et al.   ENGINEERING WITH COMPUTERS

Prediction of bearing capacity of thin-walled foundation: a simulation approach

(2017) Ehsan Momeni et al.   ENGINEERING WITH COMPUTERS

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

(2017) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals

(2017) Manoj Khandelwal et al.   Environmental Earth Sciences

NF-GMDH-Based self-organized systems to predict bridge pier scour depth under debris flow effects

(2017) Mohammad Najafzadeh et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Self-compacting concrete strength prediction using surrogate models

(2017) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel

(2017) Jian Zhou et al.   International Journal of Geomechanics

Application of a Neuro-Fuzzy GMDH Model for Predicting the Velocity at Limit of Deposition in Storm Sewers

(2017) Mohammad Najafzadeh et al.   Journal of Pipeline Systems Engineering and Practice

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

(2016) Danial Jahed Armaghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

(2016) Ali Toghroli et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of ICA in approximating ground vibration resulting from mine blasting

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Airblast prediction through a hybrid genetic algorithm-ANN model

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

An optimized ANN model based on genetic algorithm for predicting ripping production

(2016) Edy Tonnizam Mohamad et al.   NEURAL COMPUTING & APPLICATIONS

Analysis on the damage behavior of mixed ground during TBM cutting process

(2016) Haiqing Yang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of an evolutionary-based approach in evaluating pile bearing capacity using CPT results

(2016) Babak Ebrahimian et al.   Ships and Offshore Structures

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

(2016) Panagiotis G. Asteris et al.   Computational Intelligence and Neuroscience

State-of-the-art review of some artificial intelligence applications in pile foundations

(2016) Mohamed A. Shahin   Geoscience Frontiers

Application of two intelligent systems in predicting environmental impacts of quarry blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles

(2015) Ehsan Momeni et al.   Earth Sciences Research Journal

A quasi-three-dimensional spring-deformable-block model for runout analysis of rapid landslide motion

(2015) H.Q. Yang et al.   ENGINEERING GEOLOGY

Prediction of blast-induced air overpressure: a hybrid AI-based predictive model

(2015) Danial Jahed Armaghani et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Neuro-Fuzzy GMDH to Predict the Scour Pile Groups due to Waves

(2015) Mohammad Najafzadeh et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

(2015) Ehsan Momeni et al.   MEASUREMENT

Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles

(2015) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of recompression index using GMDH-type neural network based on geotechnical soil properties

(2015) Afshin Kordnaeij et al.   SOILS AND FOUNDATIONS

Modeling of masonry failure surface under biaxial compressive stress using Neural Networks

(2014) Vagelis Plevris et al.   CONSTRUCTION AND BUILDING MATERIALS

Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN

(2014) E. Momeni et al.   MEASUREMENT

Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates

(2014) Mohammad Najafzadeh et al.   Earth Science Informatics

Prediction of ultimate axial load-carrying capacity of piles using a support vector machine based on CPT data

(2013) A. Kordjazi et al.   COMPUTERS AND GEOTECHNICS

Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction

(2012) Xiu-zhi SHI et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Predicting axial capacity of driven piles in cohesive soils using intelligent computing

(2011) Iyad Alkroosh et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

(2011) Jian Zhou et al.   SAFETY SCIENCE

Intelligent computing for modeling axial capacity of pile foundations

(2010) Mohamed A. Shahin   CANADIAN GEOTECHNICAL JOURNAL

GSA: A Gravitational Search Algorithm

(2009) Esmat Rashedi et al.   INFORMATION SCIENCES

Assessment of direct CPT and CPTU methods for predicting the ultimate bearing capacity of single piles

(2008) Guojun Cai et al.   ENGINEERING GEOLOGY

Database Assessment of CPT-Based Design Methods for Axial Capacity of Driven Piles in Siliceous Sands

(2008) James A. Schneider et al.   JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING