Parametric Investigation of Particle Swarm Optimization to Improve the Performance of the Adaptive Neuro-Fuzzy Inference System in Determining the Buckling Capacity of Circular Opening Steel Beams

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

(2020) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Investigation and Optimization of the C-ANN Structure in Predicting the Compressive Strength of Foamed Concrete

(2020) Dong Van Dao et al.   Materials

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

(2020) Dong Van Dao et al.   Sustainability

A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

(2020) Dong Van Dao et al.   CATENA

The Coarse Mesh Condensation Multiscale Method for parallel computation of heterogeneous linear structures without scale separation

(2020) Minh Vuong Le et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods

(2020) Jianwei Tian et al.   ENGINEERING WITH COMPUTERS

Optimization of Artificial Intelligence System by Evolutionary Algorithm for Prediction of Axial Capacity of Rectangular Concrete Filled Steel Tubes under Compression

(2020) Hung Quang Nguyen et al.   Materials

Ensemble modeling of landslide susceptibility using random subspace learner and different decision tree classifiers

(2020) Binh Thai Pham et al.   Geocarto International

Improvement of Credal Decision Trees Using Ensemble Frameworks for Groundwater Potential Modeling

(2020) Phong Tung Nguyen et al.   Sustainability

Computational Hybrid Machine Learning Based Prediction of Shear Capacity for Steel Fiber Reinforced Concrete Beams

(2020) Hai-Bang Ly et al.   Sustainability

Extreme Learning Machine Based Prediction of Soil Shear Strength: A Sensitivity Analysis Using Monte Carlo Simulations and Feature Backward Elimination

(2020) Binh Thai Pham et al.   Sustainability

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

(2020) Phong Tung Nguyen et al.   Applied Sciences-Basel

Development of advanced artificial intelligence models for daily rainfall prediction

(2020) Binh Thai Pham et al.   ATMOSPHERIC RESEARCH

Particulate matter concentration from open-cut coal mines: A hybrid machine learning estimation

(2020) Chongchong Qi et al.   ENVIRONMENTAL POLLUTION

Artificial Intelligence Approaches for Prediction of Compressive Strength of Geopolymer Concrete

(2019) Dong Dao et al.   Materials

Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill

(2019) Chongchong Qi et al.   MINERALS ENGINEERING

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

A predicting model for properties of steel using the industrial big data based on machine learning

(2019) Shun Guo et al.   COMPUTATIONAL MATERIALS SCIENCE

Stochastic modeling and identification of a hyperelastic constitutive model for laminated composites

(2019) B. Staber et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Stochastic Multi‐Scale Modeling of Crack Propagation in Random Heterogeneous Media

(2019) Darith‐Anthony Hun et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Hybrid Artificial Intelligence Approaches for Predicting Buckling Damage of Steel Columns Under Axial Compression

(2019) Lu Minh Le et al.   Materials

Prediction and Sensitivity Analysis of Bubble Dissolution Time in 3D Selective Laser Sintering Using Ensemble Decision Trees

(2019) Ly et al.   Materials

Flash flood susceptibility modeling using an optimized fuzzy rule based feature selection technique and tree based ensemble methods

(2019) Dieu Tien Bui et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Quantification of Uncertainties on the Critical Buckling Load of Columns under Axial Compression with Uncertain Random Materials

(2019) Hai-Bang Ly et al.   Materials

Hybrid Artificial Intelligence Approaches for Predicting Critical Buckling Load of Structural Members under Compression Considering the Influence of Initial Geometric Imperfections

(2019) Hai-Bang Ly et al.   Applied Sciences-Basel

Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping

(2019) Seyed Vahid Razavi Termeh et al.   HYDROGEOLOGY JOURNAL

Development of artificial intelligence models for the prediction of Compression Coefficient of soil: An application of Monte Carlo sensitivity analysis

(2019) Binh Thai Pham et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Development of Hybrid Artificial Intelligence Approaches and a Support Vector Machine Algorithm for Predicting the Marshall Parameters of Stone Matrix Asphalt

(2019) Hoang-Long Nguyen et al.   Applied Sciences-Basel

Improvement of ANFIS Model for Prediction of Compressive Strength of Manufactured Sand Concrete

(2019) Ly et al.   Applied Sciences-Basel

Development of an AI Model to Measure Traffic Air Pollution from Multisensor and Weather Data

(2019) Hai-Bang Ly et al.   SENSORS

Adaptive Network Based Fuzzy Inference System with Meta-Heuristic Optimizations for International Roughness Index Prediction

(2019) Hoang-Long Nguyen et al.   Applied Sciences-Basel

Temperature effects on chloride binding capacity of cementitious materials

(2019) Van Quan Tran et al.   MAGAZINE OF CONCRETE RESEARCH

Development of Hybrid Machine Learning Models for Predicting the Critical Buckling Load of I-Shaped Cellular Beams

(2019) Hai-Bang Ly et al.   Applied Sciences-Basel

Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach

(2019) Chongchong Qi et al.   CHEMOSPHERE

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

Mori–Tanaka estimates of the effective elastic properties of stress-gradient composites

(2018) V.P. Tran et al.   INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES

Design procedure for the web-post buckling of steel cellular beams

(2018) Lucas Figueiredo Grilo et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Neural Network Based Vibration Control of Seismically Excited Civil Structures

(2018) Bartlomiej Blachowski et al.   Periodica Polytechnica-Civil Engineering

Deriving temperature-dependent material models for structural steel through artificial intelligence

(2018) M.Z. Naser   CONSTRUCTION AND BUILDING MATERIALS

Using deep neural network with small dataset to predict material defects

(2018) Shuo Feng et al.   MATERIALS & DESIGN

A comparative study of sequential minimal optimization-based support vector machines, vote feature intervals, and logistic regression in landslide susceptibility assessment using GIS

(2017) Binh Thai Pham et al.   Environmental Earth Sciences

The prediction of ultimate pure bending moment of concrete-filled steel tubes by adaptive neuro-fuzzy inference system (ANFIS)

(2017) Hakan Basarir et al.   NEURAL COMPUTING & APPLICATIONS

Stochastic continuum modeling of random interphases from atomistic simulations. Application to a polymer nanocomposite

(2016) T.T. Le et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Uncertainty quantification in computational linear structural dynamics for viscoelastic composite structures

(2016) R. Capillon et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Landslide Hazard Assessment Using Random SubSpace Fuzzy Rules Based Classifier Ensemble and Probability Analysis of Rainfall Data: A Case Study at Mu Cang Chai District, Yen Bai Province (Viet Nam)

(2016) Binh Thai Pham et al.   Journal of the Indian Society of Remote Sensing

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

(2016) Iman Mansouri et al.   MATERIALS AND STRUCTURES

Stochastic modeling of mesoscopic elasticity random field

(2016) V-P. Tran et al.   MECHANICS OF MATERIALS

Lateral–torsional buckling resistance of cellular beams

(2015) Delphine Sonck et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A hybrid wavelet neural network model with mutual information and particle swarm optimization for forecasting monthly rainfall

(2015) Xinguang He et al.   JOURNAL OF HYDROLOGY

Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization

(2014) Ahmad Bagheri et al.   EXPERT SYSTEMS WITH APPLICATIONS

Particle swarm optimization for ANFIS interpretability and accuracy

(2014) Dian Palupi Rini et al.   SOFT COMPUTING

Stochastic framework for modeling the linear apparent behavior of complex materials: Application to random porous materials with interphases

(2013) J. Guilleminot et al.   ACTA MECHANICA SINICA

Finite element investigation on deflection of cellular beams with various configurations

(2013) Pattamad Panedpojaman et al.   International Journal of Steel Structures

Machine learning of molecular electronic properties in chemical compound space

(2013) Grégoire Montavon et al.   NEW JOURNAL OF PHYSICS

Stochastic structural control under earthquake excitations

(2013) Nikos G. Pnevmatikos et al.   Structural Control & Health Monitoring

Meshless local buckling analysis of steel beams with irregular web openings

(2012) A.R. Zainal Abidin et al.   ENGINEERING STRUCTURES

A new hybrid particle swarm optimization approach for structural design optimization in the automotive industry

(2012) Ali R Yildiz   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING

A hybrid ANFIS model for business failure prediction utilizing particle swarm optimization and subtractive clustering

(2011) Mu-Yen Chen   INFORMATION SCIENCES

Web buckling study of the behaviour and strength of perforated steel beams with different novel web opening shapes

(2011) Konstantinos Daniel Tsavdaridis et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

A new prediction model for the load capacity of castellated steel beams

(2011) Amir Hossein Gandomi et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Nonlinear analysis of cellular steel beams under combined buckling modes

(2011) Ehab Ellobody   THIN-WALLED STRUCTURES

GA-based method for feature selection and parameters optimization for machine learning regression applied to software effort estimation

(2010) Adriano L.I. Oliveira et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Elastic lateral stability of I-shaped cellular steel beams

(2010) Amr M.I. Sweedan   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Peak load forecasting using Bayesian regularization, Resilient and adaptive backpropagation learning based artificial neural networks

(2008) Lalit Mohan Saini   ELECTRIC POWER SYSTEMS RESEARCH

Classification of Electrocardiogram Signals With Support Vector Machines and Particle Swarm Optimization

(2008) F. Melgani et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE