A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass

Optimal design of adaptive and proportional integral derivative controllers using a novel hybrid particle swarm optimization algorithm

(2020) Elham Yazdani Bejarbaneh et al.   TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL

Evaluating Slope Deformation of Earth Dams Due to Earthquake Shaking Using MARS and GMDH Techniques

(2020) Mingxiang Cai et al.   Applied Sciences-Basel

On the Use of Neuro-Swarm System to Forecast the Pile Settlement

(2020) Danial Jahed Armaghani et al.   Applied Sciences-Basel

Design of robust control based on linear matrix inequality and a novel hybrid PSO search technique for autonomous underwater vehicle

(2020) Elham Yazdani Bejarbaneh et al.   APPLIED OCEAN RESEARCH

Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques

(2020) Mahdi Aghaabbasi et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Mapping and holistic design of natural hydraulic lime mortars

(2020) Maria Apostolopoulou et al.   CEMENT AND CONCRETE RESEARCH

An Efficient Optimal Neural Network Based on Gravitational Search Algorithm in Predicting the Deformation of Geogrid-Reinforced Soil Structures

(2020) Ehsan Momeni et al.   Transportation Geotechnics

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

(2020) Haiqing Yang et al.   ENGINEERING WITH COMPUTERS

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

(2020) Jian Zhou et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

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

Developing a new intelligent technique to predict overbreak in tunnels using an artificial bee colony-based ANN

(2019) Mohammadreza Koopialipoor et al.   Environmental Earth Sciences

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

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

Strength evaluation of granite block samples with different predictive models

(2019) Qiancheng Fang et al.   ENGINEERING WITH COMPUTERS

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

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

Model test on the entrainment phenomenon and energy conversion mechanism of flow-like landslides

(2018) H.Q. Yang et al.   ENGINEERING GEOLOGY

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

Prediction of wave runup on beaches using Gene-Expression Programming and empirical relationships

(2018) Hannah E. Power et al.   COASTAL ENGINEERING

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

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

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

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems

(2016) Behnam Yazdani Bejarbaneh et al.   Bulletin of Engineering Geology and the Environment

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

Damage detection using self-powered wireless sensor data: An evolutionary approach

(2016) Amir H. Alavi et al.   MEASUREMENT

Anisotropic masonry failure criterion using artificial neural networks

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

Application of non-linear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs

(2016) Alireza Salimi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

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

Application of various optimization techniques and comparison of their performances for predicting TBM penetration rate in rock mass

(2015) Saffet Yagiz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction

(2015) Jian Zhou et al.   NATURAL HAZARDS

Analysis of the excavation damaged zone around a tunnel accounting for geostress and unloading

(2014) H.Q. Yang et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

(2014) Danial Jahed Armaghani et al.   MEASUREMENT

Integrative Approaches to the Study of Baleen Whale Diving Behavior, Feeding Performance, and Foraging Ecology

(2013) Jeremy A. Goldbogen et al.   BIOSCIENCE

Modeling the compressive strength of geopolymeric binders by gene expression programming-GEP

(2013) Ali Nazari et al.   EXPERT SYSTEMS WITH APPLICATIONS

Study of various models for estimation of penetration rate of hard rock TBMs

(2012) Ebrahim Farrokh et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A robust data mining approach for formulation of geotechnical engineering systems

(2011) Amir Hossein Alavi et al.   ENGINEERING COMPUTATIONS

Soil liquefaction modeling by Genetic Expression Programming and Neuro-Fuzzy

(2010) C. Kayadelen   EXPERT SYSTEMS WITH APPLICATIONS

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

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY