Application of a Hybrid Artificial Neural Network-Particle Swarm Optimization (ANN-PSO) Model in Behavior Prediction of Channel Shear Connectors Embedded in Normal and High-Strength Concrete

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

(2019) Xuan-Nam Bui et al.   Natural Resources Research

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

(2019) Hoang Nguyen et al.   Acta Geophysica

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm

(2019) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

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

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

Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost

(2019) Xiliang Zhang et al.   Natural Resources Research

A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning

(2019) Le Thi Le et al.   Applied Sciences-Basel

A Novel Artificial Intelligence Approach to Predict Blast-Induced Ground Vibration in Open-Pit Mines Based on the Firefly Algorithm and Artificial Neural Network

(2019) Yonghui Shang et al.   Natural Resources Research

Prediction of Concrete Strength with P-, S-, R-Wave Velocities by Support Vector Machine (SVM) and Artificial Neural Network (ANN)

(2019) Jong Yil Park et al.   Applied Sciences-Basel

Large-scale fatigue testing of post-installed shear connectors in partially-composite bridge girders

(2019) Amir Reza Ghiami Azad et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A Novel Hybrid Model for Predicting Blast-Induced Ground Vibration Based on k-Nearest Neighbors and Particle Swarm Optimization

(2019) Xuan-Nam Bui et al.   Scientific Reports

Investigation of a Method for Strengthening Perforated Cold-Formed Steel Profiles under Compression Loads

(2019) Ehsan Taheri et al.   Applied Sciences-Basel

Development of an ANN-Based Lumped Plasticity Model of RC Columns Using Historical Pseudo-Static Cyclic Test Data

(2019) Zhenliang Liu et al.   Applied Sciences-Basel

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Performance forecasting for polymer flooding in heavy oil reservoirs

(2018) Ehsan Amirian et al.   FUEL

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

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

Lateral force resisting systems in lightweight steel frames: Recent research advances

(2018) Pezhman Sharafi et al.   THIN-WALLED STRUCTURES

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

(2018) Hoang Nguyen et al.   NEURAL COMPUTING & APPLICATIONS

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

Prediction of shear strength for squat RC walls using a hybrid ANN–PSO model

(2017) X. L. Chen et al.   ENGINEERING WITH COMPUTERS

Comparative performance of channel and angle shear connectors in high strength concrete composites: An experimental study

(2016) M. Shariati et al.   CONSTRUCTION AND BUILDING MATERIALS

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

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

ANN Model for Predicting the Compressive Strength of Circular Steel-Confined Concrete

(2016) M. Ahmadi et al.   International Journal of Civil Engineering

Optimum design of cold-formed steel beams using Particle Swarm Optimisation method

(2016) Jun Ye et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Experimental and Numerical Evaluation of Progressive Collapse Behavior in Scaled RC Beam-Column Subassemblage

(2016) Rasool Ahmadi et al.   SHOCK AND VIBRATION

Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

(2016) M. Safa et al.   STEEL AND COMPOSITE STRUCTURES

Predicting the Ductility of RC Beams Using Nonlinear Regression and ANN

(2016) H. Akbarzadeh Bengar et al.   Iranian Journal of Science and Technology-Transactions of Civil Engineering

Stiffening of short small-size circular composite steel–concrete columns with shear connectors

(2016) Sherif M. Younes et al.   Journal of Advanced Research

Deep learning

(2015) Yann LeCun et al.   NATURE

Fatigue energy dissipation and failure analysis of angle shear connectors embedded in high strength concrete

(2014) Mahdi Shariati et al.   ENGINEERING FAILURE ANALYSIS

An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups

(2014) Mohammad Mohammadhassani et al.   Smart Structures and Systems

Prediction of shear capacity of channel shear connectors using the ANFIS model

(2014) Ali Toghroli et al.   STEEL AND COMPOSITE STRUCTURES

FEM analysis on failure development of group studs shear connector under effects of concrete strength and stud dimension

(2013) Chen Xu et al.   ENGINEERING FAILURE ANALYSIS

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

(2013) Mohammad Mohammadhassani et al.   STRUCTURAL ENGINEERING AND MECHANICS

PSO-MISMO Modeling Strategy for MultiStep-Ahead Time Series Prediction

(2013) Yukun Bao et al.   IEEE Transactions on Cybernetics

Comparison of behaviour between channel and angle shear connectors under monotonic and fully reversed cyclic loading

(2012) Mahdi Shariati et al.   CONSTRUCTION AND BUILDING MATERIALS

An experimental study on channel type shear connectors

(2012) Eray Baran et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Modeling global solar radiation using Particle Swarm Optimization (PSO)

(2012) Mohamed Ahmed Mohandes   SOLAR ENERGY

Costs and carbon emissions for geopolymer pastes in comparison to ordinary portland cement

(2011) Benjamin C. McLellan et al.   JOURNAL OF CLEANER PRODUCTION

Recent trends in steel fibered high-strength concrete

(2011) Abid A. Shah et al.   MATERIALS & DESIGN

Experimental assessment of channel shear connectors under monotonic and fully reversed cyclic loading in high strength concrete

(2011) Mahdi Shariati et al.   MATERIALS & DESIGN

Experimental study of high strength concrete-filled circular tubular columns under eccentric loading

(2010) J.M. Portolés et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

New design equations for channel shear connectors in composite beams

(2009) Amit Pashan et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

Experimental and analytical study on channel shear connectors in fiber-reinforced concrete

(2009) Shervin Maleki et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Prediction of compressive strength of SCC and HPC with high volume fly ash using ANN

(2008) B.K. Raghu Prasad et al.   CONSTRUCTION AND BUILDING MATERIALS

Behavior of channel shear connectors, Part II: Analytical study

(2008) Shervin Maleki et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Behavior of channel shear connectors, Part I: Experimental study

(2008) Shervin Maleki et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH