Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate
Authors
Keywords
TBM performance, Support vector machine, Whale optimization algorithm, Gray wolf optimization, Moth flame optimization
Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 97, Issue -, Pages 104015
Publisher
Elsevier BV
Online
2020-11-06
DOI
10.1016/j.engappai.2020.104015
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
- (2020) Betül Sultan Yıldız et al. Materials Testing
- A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails
- (2020) Enes Kurtuluş et al. Materials Testing
- 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
- 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
- Self-adaptive many-objective meta-heuristic based on decomposition for many-objective conceptual design of a fixed wing unmanned aerial vehicle
- (2020) Pakin Champasak et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Deep learning-based appearance features extraction for automated carp species identification
- (2020) Ashkan Banan et al. AQUACULTURAL ENGINEERING
- Improved Binary Grey Wolf Optimizer and Its application for feature selection
- (2020) Pei Hu et al. KNOWLEDGE-BASED SYSTEMS
- Butterfly optimization algorithm for optimum shape design of automobile suspension components
- (2020) Betül Sultan Yıldız et al. Materials Testing
- Optimal design of automobile structures using moth-flame optimization algorithm and response surface methodology
- (2020) Betül Sultan Yıldız Materials Testing
- The spotted hyena optimization algorithm for weight-reduction of automobile brake components
- (2020) Betül Sultan Yıldız Materials Testing
- The mine blast algorithm for the structural optimization of electrical vehicle components
- (2020) Betül Sultan Yıldız Materials Testing
- Model predictive control of three-axis gimbal system mounted on UAV for real-time target tracking under external disturbances
- (2020) Aytaç Altan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
- (2020) Pin Zhang et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness
- (2020) Danial Jahed Armaghani et al. Sustainability
- Yin-Yang firefly algorithm based on dimensionally Cauchy mutation
- (2020) Wen-chuan Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm
- (2020) Xuan-Nam Bui et al. Scientific Reports
- 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
- A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization
- (2019) Ali Riza Yildiz et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- 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
- Hybrid Support Vector Machine Optimization Model for Prediction of Energy Consumption of Cutter Head Drives in Shield Tunneling
- (2019) Cheng Zhou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials
- (2019) Jian Zhou 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
- Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost
- (2019) Le Thi Le et al. Applied Sciences-Basel
- Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques
- (2019) Aytaç Altan et al. CHAOS SOLITONS & FRACTALS
- The Harris hawks optimization algorithm, salp swarm algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components
- (2019) Betül Sultan Yıldız et al. Materials Testing
- Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate
- (2019) Hai Xu et al. Applied Sciences-Basel
- Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms
- (2019) Ziwei Ding et al. Natural Resources Research
- A novel hybrid whale–Nelder–Mead algorithm for optimization of design and manufacturing problems
- (2019) Ali Riza Yildiz INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism
- (2019) Hammoudi Abderazek et al. KNOWLEDGE-BASED SYSTEMS
- 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
- 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
- Prediction of rock mass parameters in the TBM tunnel based on BP neural network integrated simulated annealing algorithm
- (2019) B. Liu et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- State-of-the-art review of soft computing applications in underground excavations
- (2019) Wengang Zhang et al. Geoscience Frontiers
- A harmonic estimator design with evolutionary operators equipped grey wolf optimizer
- (2019) Akash Saxena et al. EXPERT SYSTEMS WITH APPLICATIONS
- A multiple search strategies based grey wolf optimizer for solving multi-objective optimization problems
- (2019) Junfeng Liu et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod
- (2018) Betül Sultan Yıldız et al. Materials Testing
- Experimental and intelligent techniques to estimate bearing capacity of cohesive soft soils reinforced with soil-cement columns
- (2018) Aliff Ridzuan Bunawan et al. MEASUREMENT
- A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking
- (2018) Hathiram Nenavath et al. Swarm and Evolutionary Computation
- Optimum design of cam-roller follower mechanism using a new evolutionary algorithm
- (2018) Ferhat Hamza et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Volumetric fracturing behavior of 3D printed artificial rocks containing single and double 3D internal flaws under static uniaxial compression
- (2018) T. Zhou et al. ENGINEERING FRACTURE MECHANICS
- 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
- Developing a least squares support vector machine for estimating the blast-induced flyrock
- (2017) Hima Nikafshan Rad et al. ENGINEERING WITH COMPUTERS
- A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems
- (2017) Betül Sultan Yıldız INTERNATIONAL JOURNAL OF VEHICLE DESIGN
- A comparison of recent metaheuristic algorithms for crashworthiness optimisation of vehicle thin-walled tubes considering sheet metal forming effects
- (2017) Selçuk Karagöz et al. INTERNATIONAL JOURNAL OF VEHICLE DESIGN
- Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach
- (2017) Ying Zhou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes
- (2017) Betül Sultan Yıldız et al. Materials Testing
- Hybrid Whale Optimization Algorithm with simulated annealing for feature selection
- (2017) Majdi M. Mafarja et al. NEUROCOMPUTING
- 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
- 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
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
- (2016) Jian Zhou et al. JOURNAL OF COMPUTING IN CIVIL ENGINEERING
- A hybrid approach combining uniform design and support vector machine to probabilistic tunnel stability assessment
- (2016) Xiang Li et al. STRUCTURAL SAFETY
- 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
- A Comparative Study of Non-traditional Methods for Vehicle Crashworthiness and NVH Optimization
- (2015) Morteza Kiani et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting
- (2015) Danial Jahed Armaghani et al. Environmental Earth Sciences
- Dynamic analysis of soil-structure interaction using the neural networks and the support vector machines
- (2015) Hojjat Abbasi Farfani et al. EXPERT SYSTEMS WITH APPLICATIONS
- Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics
- (2015) A. Benato et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- 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
- Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm
- (2015) Seyedali Mirjalili KNOWLEDGE-BASED SYSTEMS
- 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
- 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 pile bearing capacity using a hybrid genetic algorithm-based ANN
- (2014) E. Momeni et al. MEASUREMENT
- 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
- Application of RMR for Estimating Rock-Mass–Related TBM Utilization and Performance Parameters: A Case Study
- (2014) O. Frough et al. ROCK MECHANICS AND ROCK ENGINEERING
- Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic
- (2013) Ebrahim Ghasemi et al. Bulletin of Engineering Geology and the Environment
- Comparison of evolutionary-based optimization algorithms for structural design optimization
- (2012) Ali R. Yildiz ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Prediction of rainfall time series using modular soft computingmethods
- (2012) C.L. Wu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Modeling of tensile strength of rocks materials based on support vector machines approaches
- (2012) Nurcihan Ceryan et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- Least square support vector machine and multivariate adaptive regression spline for modeling lateral load capacity of piles
- (2012) Pijush Samui et al. NEURAL COMPUTING & APPLICATIONS
- 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
- Study of various models for estimation of penetration rate of hard rock TBMs
- (2012) Ebrahim Farrokh et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS
- (2011) S. R. Torabi et al. Arabian Journal of Geosciences
- 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
- A new hard rock TBM performance prediction model for project planning
- (2011) J. Hassanpour et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- Blast-induced ground vibration prediction using support vector machine
- (2010) Manoj Khandelwal ENGINEERING WITH COMPUTERS
- Application of statistical learning algorithms to ultimate bearing capacity of shallow foundation on cohesionless soil
- (2010) Pijush Samui INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- Geomechanical parameters identification by particle swarm optimization and support vector machine
- (2009) Hong-bo Zhao et al. APPLIED MATHEMATICAL MODELLING
- 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 blast-induced ground vibration using artificial neural network
- (2009) Manoj Khandelwal et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Application of Fuzzy Set Theory to Rock Engineering Classification Systems: An Illustration of the Rock Mass Excavability Index
- (2009) Jafar Khademi Hamidi et al. ROCK MECHANICS AND ROCK ENGINEERING
- Multifactorial fuzzy approach to the penetrability classification of TBM in hard rock conditions
- (2009) Reza Mikaeil et al. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
- 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
- Modeling Pile Capacity Using Support Vector Machines and Generalized Regression Neural Network
- (2008) Mahesh Pal et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Prediction of uniaxial compressive strength of sandstones using petrography-based models
- (2007) K. Zorlu et al. ENGINEERING GEOLOGY
- Fault detection and identification with a new feature selection based on mutual information
- (2007) Sylvain Verron et al. JOURNAL OF PROCESS CONTROL
- Utilizing rock mass properties for predicting TBM performance in hard rock condition
- (2007) Saffet Yagiz TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now