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

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

Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques

(2019) Xiufeng Liao 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

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

Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

(2019) Jian Zhou et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO

(2019) Haiqing Yang et al.   Natural Resources Research

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

A new adjusting technique for PID type fuzzy logic controller using PSOSCALF optimization algorithm

(2019) Elham Yazdani Bejarbaneh et al.   APPLIED SOFT COMPUTING

Multi-planar detection optimization algorithm for the interval charging structure of large-diameter longhole blasting design based on rock fragmentation aspects

(2018) Mingzheng Wang et al.   ENGINEERING OPTIMIZATION

Investigation on the Cracking Character of Jointed Rock Mass Beneath TBM Disc Cutter

(2018) Haiqing Yang et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

Evaluation method of rockburst: State-of-the-art literature review

(2018) Jian Zhou et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique

(2016) Roohollah Shirani Faradonbeh et al.   Bulletin of Engineering Geology and the Environment

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

Characteristics of weathering zones of granitic rocks in Malaysia for geotechnical engineering design

(2016) S.V. Alavi Nezhad Khalil Abad et al.   ENGINEERING GEOLOGY

Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

Genetic programming and gene expression programming for flyrock assessment due to mine blasting

(2016) Roohollah Shirani Faradonbeh et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

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

Prediction of the durability of limestone aggregates using computational techniques

(2016) Seyed Vahid Alavi Nezhad Khalil Abad 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

Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

(2016) M. Safa et al.   STEEL AND COMPOSITE STRUCTURES

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

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

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

Application of fuzzy inference system for prediction of rock fragmentation induced by blasting

(2015) Samira Shams et al.   Arabian Journal of Geosciences

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

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

Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation

(2015) Roohollah Shirani Faradonbeh et al.   ENGINEERING WITH COMPUTERS

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

(2015) Amir Saghatforoush et al.   ENGINEERING WITH COMPUTERS

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

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

Strength characterisation of shale using Mohr–Coulomb and Hoek–Brown criteria

(2015) Behnam Yazdani Bejarbaneh et al.   MEASUREMENT

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

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

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

Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling

(2012) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

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

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

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

Prediction of hard rock TBM penetration rate using particle swarm optimization

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

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

(2011) Jian Zhou et al.   SAFETY SCIENCE

Evaluating the strength of intact rocks through genetic programming

(2010) Mojtaba Asadi et al.   APPLIED SOFT COMPUTING

Function identification for the intrinsic strength and elastic properties of granitic rocks via genetic programming (GP)

(2010) Murat Karakus   COMPUTERS & GEOSCIENCES

Genetic programming approach for estimating the deformation modulus of rock mass using sensitivity analysis by neural network

(2010) Morteza Beiki et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

Prediction of compressive and tensile strength of limestone via genetic programming

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

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

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY