A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance

A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

(2020) Mahdi Shariati et al.   ENGINEERING WITH COMPUTERS

Development of neuro-fuzzy and neuro-bee predictive models for prediction of the safety factor of eco-protection slopes

(2020) Maryam Safa et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

(2020) Mahdi Shariati et al.   ENGINEERING WITH COMPUTERS

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

(2019) Majid Dehghani et al.   Energies

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

(2019) Wusi Chen et al.   ENGINEERING WITH COMPUTERS

Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

(2019) Javad Katebi et al.   ENGINEERING WITH COMPUTERS

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

(2019) Hooman Harandizadeh et al.   ENGINEERING WITH COMPUTERS

Effect of Water Content on Argillization of Mudstone During the Tunnelling process

(2019) Bolong Liu et al.   ROCK MECHANICS AND ROCK ENGINEERING

Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

(2019) Hai Xu et al.   Applied Sciences-Basel

Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models

(2019) Zhi Yu et al.   ENGINEERING WITH COMPUTERS

UML diagrams for dynamical monitoring of rail vehicles

(2019) Miloš Milovančević et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques

(2019) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

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

(2019) Mahdi Shariati et al.   Applied Sciences-Basel

Power production prediction of wind turbines using a fusion of MLP and ANFIS networks

(2018) Majid Morshedizadeh et al.   IET Renewable Power Generation

Speed estimation of traffic flow using multiple kernel support vector regression

(2018) Jianli Xiao et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

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

An intelligent based-model role to simulate the factor of safe slope by support vector regression

(2018) Puteri Azura Sari et al.   ENGINEERING WITH COMPUTERS

Adaptive direct power control based on ANN-GWO for grid interactive renewable energy systems with an improved synchronization technique

(2018) Mohamed Amine Djema et al.   International Transactions on Electrical Energy Systems

Bayesian prediction of TBM penetration rate in rock mass

(2017) Amoussou Coffi Adoko et al.   ENGINEERING GEOLOGY

Performance prediction of tunnel boring machine through developing a gene expression programming equation

(2017) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Propagation of the Stress Wave Through the Filled Joint with Linear Viscoelastic Deformation Behavior Using Time-Domain Recursive Method

(2017) Rui Wang et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Evaluation of common TBM performance prediction models based on field data from the second lot of Zagros water conveyance tunnel (ZWCT2)

(2016) J. Hassanpour et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Improving the Performance of Intelligent Back Analysis for Tunneling Using Optimized Fuzzy Systems: Case Study of the Karaj Subway Line 2 in Iran

(2015) Hossein Khamesi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

A support vector regression model for predicting tunnel boring machine penetration rates

(2014) Satar Mahdevari et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances

(2013) N. Yesiloglu-Gultekin et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations

(2011) C. Muro et al.   BEHAVIOURAL PROCESSES

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

(2011) S. Yagiz et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system

(2010) Jafar Khademi Hamidi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

(2009) S. Yagiz et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS

Biogeography-Based Optimization

(2008) D. Simon   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Development of a rock mass characteristics model for TBM penetration rate prediction

(2008) Q.M. Gong et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Utilizing rock mass properties for predicting TBM performance in hard rock condition

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY