An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass

Tunnel boring machines (TBM) performance prediction: A case study using big data and deep learning

(2021) Shangxin Feng et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

(2021) Jie Zeng et al.   Applied Sciences-Basel

Application of deep learning algorithms in geotechnical engineering: a short critical review

(2021) Wengang Zhang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm

(2021) Jiandong Huang et al.   ENGINEERING WITH COMPUTERS

Random Forest and Bayesian Network Techniques for Probabilistic Prediction of Flyrock Induced by Blasting in Quarry Sites

(2020) Han Han et al.   Natural Resources Research

Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization

(2020) Wengang Zhang et al.   Geoscience Frontiers

A survey of evolutionary computation for association rule mining

(2020) Akbar Telikani et al.   INFORMATION SCIENCES

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

(2020) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

TBM performance prediction with Bayesian optimization and automated machine learning

(2020) Qianli Zhang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

(2020) Jian Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model

(2020) Jiandong Huang et al.   Advances in Civil Engineering

Excavation of underground research laboratory ramp in granite using tunnel boring machine: Feasibility study

(2020) Hongsu Ma et al.   Journal of Rock Mechanics and Geotechnical Engineering

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

(2020) Hooman Harandizadeh et al.   APPLIED SOFT COMPUTING

Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

(2020) Jian Zhou et al.   Geoscience Frontiers

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

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

Performance prediction of tunnel boring machine through developing high accuracy equations: A case study in adverse geological condition

(2019) Masoud Samaei 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

Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony

(2019) Akbar Telikani et al.   EXPERT SYSTEMS WITH 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

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

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

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

(2017) Azam Shahnazar et al.   Environmental Earth Sciences

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

An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training

(2016) Dervis Karaboga et al.   APPLIED SOFT COMPUTING

Model tree approach for predicting uniaxial compressive strength and Young’s modulus of carbonate rocks

(2016) Ebrahim Ghasemi et al.   Bulletin of Engineering Geology and the Environment

A sanitization approach for hiding sensitive itemsets based on particle swarm optimization

(2016) Jerry Chun-Wei Lin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Developing a new hybrid-AI model to predict blast-induced backbreak

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Feasibility of ICA in approximating ground vibration resulting from mine blasting

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Analysis on the damage behavior of mixed ground during TBM cutting process

(2016) Haiqing Yang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

Analysis on the Rock–Cutter Interaction Mechanism During the TBM Tunneling Process

(2015) Haiqing Yang et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

Tunnel boring machine performance prediction with scaled rock cutting tests

(2014) Martin Entacher et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Developing a fuzzy model based on subtractive clustering for road header performance prediction

(2013) Abdolreza Yazdani-Chamzini et al.   AUTOMATION IN CONSTRUCTION

Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic

(2013) Ebrahim Ghasemi et al.   Bulletin of Engineering Geology and the Environment

Analysis and prediction of TBM performance in blocky rock conditions at the Lötschberg Base Tunnel

(2012) A. Delisio et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of hard rock TBM penetration rate using particle swarm optimization

(2011) Saffet Yagiz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A modified Artificial Bee Colony algorithm for real-parameter optimization

(2010) Bahriye Akay et al.   INFORMATION SCIENCES

Prediction of thrust and torque requirements of TBMs with fuzzy logic models

(2010) O. Acaroglu   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

Rough particle swarm optimization and its applications in data mining

(2008) Bilal Alatas et al.   SOFT COMPUTING

A fuzzy logic model to predict specific energy requirement for TBM performance prediction

(2008) O. Acaroglu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY