Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets

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

Evaluation of conjugate depths of hydraulic jump in circular pipes using evolutionary computing

(2019) Mohammad Najafzadeh   SOFT COMPUTING

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

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

Optimal Charge Scheme Calculation for Multiring Blasting Using Modified Harries Mathematical Model

(2019) Mingzheng Wang et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

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

(2019) Mahdy Khari et al.   MEASUREMENT

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

(2019) Jian Zhou et al.   Applied Sciences-Basel

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

A new approach for estimation of rock brittleness based on non-destructive tests

(2019) Mohammadreza Koopialipoor et al.   Nondestructive Testing and Evaluation

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

(2019) Zehui Shao et al.   MEASUREMENT

Thermal characteristics of evacuated tube solar collectors with coil inside: An experimental study and evolutionary algorithms

(2019) Gholamabbas Sadeghi et al.   RENEWABLE ENERGY

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

Concrete compressive strength using artificial neural networks

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

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

(2019) Lei Huang et al.   Applied Sciences-Basel

GMDH-GEP to predict free span expansion rates below pipelines under waves

(2018) Mohammad Najafzadeh et al.   MARINE GEORESOURCES & GEOTECHNOLOGY

Achieving maximum dimensional accuracy and surface quality at the shortest possible time in single-point incremental forming via multi-objective optimization

(2018) Abolfazl Taherkhani et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

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

Rock tensile strength prediction using empirical and soft computing approaches

(2018) Amir Mahdiyar et al.   Bulletin of Engineering Geology and the Environment

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Self-compacting concrete strength prediction using surrogate models

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

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

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers

(2016) Mohammad Najafzadeh et al.   Environmental Earth Sciences

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

Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining

(2016) Jian Zhou et al.   JOURNAL OF VIBRATION AND CONTROL

Neural Network Spectral Robustness under Perturbations of the Underlying Graph

(2016) Anca Rădulescu   NEURAL COMPUTATION

Rock strength estimation: a PSO-based BP approach

(2016) E. Tonnizam Mohamad 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

Neuro-fuzzy technique to predict air-overpressure induced by blasting

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

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods

(2015) D. Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

(2015) Wen-chuan Wang et al.   ENVIRONMENTAL RESEARCH

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

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

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Prediction of abrasiveness index of some Indian rocks using soft computing methods

(2015) Ashutosh Tripathy et al.   MEASUREMENT

Assessment of River Water Quality Based on Theory of Variable Fuzzy Sets and Fuzzy Binary Comparison Method

(2014) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

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

(2014) Mohammad Najafzadeh et al.   Earth Science Informatics

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

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

(2013) Mohammad Najafzadeh et al.   WATER SCIENCE AND TECHNOLOGY

Use of the block punch test to predict the compressive and tensile strengths of rocks

(2012) D.A. Mishra et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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 the Uniaxial Compressive and Tensile Strengths of Gypsum Rock by Point Load Testing

(2011) M. Heidari et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

(2011) Jian Zhou et al.   SAFETY SCIENCE

Filter modeling using gravitational search algorithm

(2010) Esmat Rashedi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

GSA: A Gravitational Search Algorithm

(2009) Esmat Rashedi et al.   INFORMATION SCIENCES

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

BGSA: binary gravitational search algorithm

(2009) Esmat Rashedi et al.   Natural Computing

Modelling of multiple short-length-scale stall cells in an axial compressor using evolved GMDH neural networks

(2008) N. Amanifard et al.   ENERGY CONVERSION AND MANAGEMENT

RETRACTED: Investigating the efficiency in oil futures market based on GMDH approach

(2008) Mohsen Mehrara et al.   EXPERT SYSTEMS WITH APPLICATIONS

Design of hybrid differential evolution and group method of data handling networks for modeling and prediction

(2008) Godfrey C. Onwubolu   INFORMATION SCIENCES

Energy demand prediction using GMDH networks

(2008) Dipti Srinivasan   NEUROCOMPUTING

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS