Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm

(2020) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC)

(2020) Jian Zhou et al.   International Journal of Mining Reclamation and Environment

Fiber-Reinforced Cemented Paste Backfill: The Effect of Fiber on Strength Properties and Estimation of Strength Using Nonlinear Models

(2020) Xin Chen et al.   Materials

Effective Assessment of Blast-Induced Ground Vibration Using an Optimized Random Forest Model Based on a Harris Hawks Optimization Algorithm

(2020) Zhi Yu et al.   Applied Sciences-Basel

Determination of mechanical, flowability, and microstructural properties of cemented tailings backfill containing rice straw

(2020) Xin Chen et al.   CONSTRUCTION AND BUILDING MATERIALS

The use of new intelligent techniques in designing retaining walls

(2019) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

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

Application of deep neural networks in predicting the penetration rate of tunnel boring machines

(2019) Mohammadreza Koopialipoor et al.   Bulletin of Engineering Geology and the Environment

Effect of overflow tailings properties on cemented paste backfill

(2019) Xin Chen et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

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

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

(2019) Hongquan Guo et al.   ENGINEERING WITH COMPUTERS

Performance evaluation of hybrid FFA-ANFIS and GA-ANFIS models to predict particle size distribution of a muck-pile after blasting

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

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

A new hybrid method for predicting ripping production in different weathering zones through in-situ tests

(2019) Edy Tonnizam Mohamad et al.   MEASUREMENT

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

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

Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance

(2019) Jian Zhou et al.   Natural Resources Research

Mechanical, flexural and microstructural properties of cement-tailings matrix composites: Effects of fiber type and dosage

(2019) Gaili Xue et al.   COMPOSITES PART B-ENGINEERING

Extracting soil salinization information with a fractional-order filtering algorithm and grid-search support vector machine (GS-SVM) model

(2019) Xiaoping Wang et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Influence of temperature on compressive strength, microstructure properties and failure pattern of fiber-reinforced cemented tailings backfill

(2019) Wenbin Xu et al.   CONSTRUCTION AND BUILDING MATERIALS

Fiber type effect on strength, toughness and microstructure of early age cemented tailings backfill

(2019) Shuai Cao et al.   CONSTRUCTION AND BUILDING MATERIALS

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples

(2019) Lei Sun et al.   ENGINEERING WITH COMPUTERS

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

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

Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression

(2019) Zhi Yu et al.   Natural Resources Research

Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill

(2018) Chongchong Qi et al.   CONSTRUCTION AND BUILDING MATERIALS

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

A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill

(2018) Chongchong Qi et al.   JOURNAL OF CLEANER PRODUCTION

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

Compressive behavior and microstructural properties of tailings polypropylene fibre-reinforced cemented paste backfill

(2018) Xin Chen et al.   CONSTRUCTION AND BUILDING MATERIALS

Charge design scheme optimization for ring blasting based on the developed Scaled Heelan model

(2018) Mingzheng Wang et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

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

Overbreak prediction and optimization in tunnel using neural network and bee colony techniques

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Yield stress and strength of saline cemented tailings in sub-zero environments: Portland cement paste backfill

(2017) Haiqiang Jiang et al.   INTERNATIONAL JOURNAL OF MINERAL PROCESSING

Real-time eutrophication status evaluation of coastal waters using support vector machine with grid search algorithm

(2017) Xianyu Kong et al.   MARINE POLLUTION BULLETIN

Assessment of hydration process and mechanical properties of cemented paste backfill by electrical resistivity measurement

(2017) Wenbin Xu et al.   Nondestructive Testing and Evaluation

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

Experimental investigation of mechanical and microstructural properties of cemented paste backfill containing maple-wood filler

(2016) Babak Koohestani et al.   CONSTRUCTION AND BUILDING MATERIALS

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

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

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

Evolving support vector machines using fruit fly optimization for medical data classification

(2016) Liming Shen et al.   KNOWLEDGE-BASED SYSTEMS

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Compressive behaviour of fibre-reinforced cemented paste backfill

(2015) X.W. Yi et al.   GEOTEXTILES AND GEOMEMBRANES

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

Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles

(2015) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Predicting the uniaxial compressive strength of cemented paste backfill from ultrasonic pulse velocity test

(2015) Tekin Yılmaz et al.   Nondestructive Testing and Evaluation

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

Principal component analysis

(2014) Rasmus Bro et al.   Analytical Methods

Kernel methods in system identification, machine learning and function estimation: A survey

(2014) Gianluigi Pillonetto et al.   AUTOMATICA

Strength and ultrasonic properties of cemented paste backfill

(2013) Bayram Ercikdi et al.   ULTRASONICS

A new support vector model-based imperialist competitive algorithm for time estimation in new product development projects

(2012) S. Meysam Mousavi et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

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

Evaluation of flyrock phenomenon due to blasting operation by support vector machine

(2011) Hasel Amini et al.   NEURAL COMPUTING & APPLICATIONS

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

(2011) Jian Zhou et al.   SAFETY SCIENCE

The use of artificial neural networks to predict the effect of sulphate attack on the strength of cemented paste backfill

(2010) L. Orejarena et al.   Bulletin of Engineering Geology and the Environment

Artificial neural network based modeling of the coupled effect of sulphate and temperature on the strength of cemented paste backfill

(2010) Libardo Orejarena et al.   CANADIAN JOURNAL OF CIVIL ENGINEERING

Support Vector Machines for classification and regression

(2009) Richard G. Brereton et al.   ANALYST

Geomechanical parameters identification by particle swarm optimization and support vector machine

(2009) Hong-bo Zhao et al.   APPLIED MATHEMATICAL MODELLING

Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil

(2009) Sheng-wei Fei et al.   ENERGY CONVERSION AND MANAGEMENT

Kernel methods in machine learning

(2008) Thomas Hofmann et al.   ANNALS OF STATISTICS

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY