Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
出版年份 2021 全文链接
标题
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
作者
关键词
-
出版物
ENGINEERING WITH COMPUTERS
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-05-29
DOI
10.1007/s00366-021-01418-3
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques
- (2021) Shi-ming Wang et al. Journal of Central South University
- Performance Evaluation of Hybrid WOA-SVR and HHO-SVR Models with Various Kernels to Predict Factor of Safety for Circular Failure Slope
- (2021) Wei Wei et al. Applied Sciences-Basel
- Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration
- (2021) Yingui Qiu et al. ENGINEERING WITH COMPUTERS
- Stochastic assessment of hard rock pillar stability based on the geological strength index system
- (2021) Chuanqi Li et al. Geomechanics and Geophysics for Geo-Energy and Geo-Resources
- A SVR-GWO technique to minimize flyrock distance resulting from blasting
- (2020) Danial Jahed Armaghani et al. Bulletin of Engineering Geology and the Environment
- Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system
- (2020) Jian Zhou et al. Bulletin of Engineering Geology and the Environment
- Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill
- (2020) Enming Li et al. ENGINEERING WITH COMPUTERS
- An ensemble method to improve prediction of earthquake-induced soil liquefaction: a multi-dataset study
- (2020) Junfei Zhang et al. NEURAL COMPUTING & APPLICATIONS
- 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
- 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
- Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
- (2020) Jian Zhou et al. Geoscience Frontiers
- Improving prediction of soil liquefaction using hybrid optimization algorithms and a fuzzy support vector machine
- (2019) Alireza Rahbarzare et al. Bulletin of Engineering Geology and the Environment
- Bayesian network models for probabilistic evaluation of earthquake-induced liquefaction based on CPT and Vs databases
- (2019) Jilei Hu et al. ENGINEERING GEOLOGY
- 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
- 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
- Predicting seismic-induced liquefaction through ensemble learning frameworks
- (2019) Mohammad H. Alobaidi et al. Scientific Reports
- 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
- A Granular GA-SVM Predictor for Big Data in Agricultural Cyber-Physical Systems
- (2019) Junhu Ruan et al. IEEE Transactions on Industrial Informatics
- Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine
- (2018) Xiao-Qiang Bian et al. JOURNAL OF MOLECULAR LIQUIDS
- Color difference classification based on optimization support vector machine of improved grey wolf algorithm
- (2018) Zhiyu Zhou et al. OPTIK
- An Improved Intrusion Detection Algorithm Based on GA and SVM
- (2018) Peiying Tao et al. IEEE Access
- In-process tool condition monitoring in compliant abrasive belt grinding process using support vector machine and genetic algorithm
- (2018) Vigneashwara Pandiyan et al. Journal of Manufacturing Processes
- GA-SVM based feature selection and parameter optimization in hospitalization expense modeling
- (2018) Zhou Tao et al. APPLIED SOFT COMPUTING
- Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples
- (2017) Manoj Khandelwal et al. ENGINEERING WITH COMPUTERS
- Seismic liquefaction potential assessed by neural networks
- (2017) Xinhua Xue et al. Environmental Earth Sciences
- An Improved Grey Wolf Optimization Strategy Enhanced SVM and Its Application in Predicting the Second Major
- (2017) Yan Wei et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- Developing novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties
- (2017) L.K. Sharma et al. MEASUREMENT
- Slope reliability analysis using surrogate models via new support vector machines with swarm intelligence
- (2016) Fei Kang et al. APPLIED MATHEMATICAL MODELLING
- Patient rule-induction method for liquefaction potential assessment based on CPT data
- (2016) A. Kaveh et al. Bulletin of Engineering Geology and the Environment
- Predicting earthquake-induced soil liquefaction based on a hybridization of kernel Fisher discriminant analysis and a least squares support vector machine: a multi-dataset study
- (2016) Nhat-Duc Hoang et al. Bulletin of Engineering Geology and the Environment
- Application of genetic algorithm-based support vector machines for prediction of soil liquefaction
- (2016) Xinhua Xue et al. Environmental Earth Sciences
- Hybrid artificial intelligence approach based on metaheuristic and machine learning for slope stability assessment: A multinational data analysis
- (2016) Nhat-Duc Hoang et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- Assessment of seismic liquefaction potential based on Bayesian network constructed from domain knowledge and history data
- (2016) Ji-Lei Hu et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines
- (2016) Jian ZHOU et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- 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
- Evaluation of liquefaction potential based on CPT data using random forest
- (2015) V. R. Kohestani et al. NATURAL HAZARDS
- The Precision-Recall Plot Is More Informative than the ROC Plot When Evaluating Binary Classifiers on Imbalanced Datasets
- (2015) Takaya Saito et al. PLoS One
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- The use of neural networks for CPT-based liquefaction screening
- (2014) Yusuf Erzin et al. Bulletin of Engineering Geology and the Environment
- APPRAISAL OF LIQUEFACTION POTENTIAL USING NEURAL NETWORK AND NEURO FUZZY APPROACH
- (2013) Kumar Venkatesh et al. APPLIED ARTIFICIAL INTELLIGENCE
- Shear-Wave Velocity–Based Probabilistic and Deterministic Assessment of Seismic Soil Liquefaction Potential
- (2013) R. Kayen et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- Application of the adaptive neuro-fuzzy inference system for prediction of soil liquefaction
- (2013) Xinhua Xue et al. NATURAL HAZARDS
- Determination of liquefaction susceptibility of soil: a least square support vector machine approach
- (2012) Pijush Samui et al. INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
- Evaluation of Liquefaction Potential Index Along Western Coast of South Korea Using SPT and CPT
- (2012) Min-Woo Seo et al. MARINE GEORESOURCES & GEOTECHNOLOGY
- Seismic reliability assessment of RC structures including soil–structure interaction using wavelet weighted least squares support vector machine
- (2012) Mohsen Khatibinia et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- 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
- Wolf-pack (Canis lupus) hunting strategies emerge from simple rules in computational simulations
- (2011) C. Muro et al. BEHAVIOURAL PROCESSES
- Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines
- (2011) Jian Zhou et al. SAFETY SCIENCE
- Liquefaction of soil in the Tokyo Bay area from the 2011 Tohoku (Japan) earthquake
- (2011) S. Bhattacharya et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
- Feature selection and parameter optimization for support vector machines: A new approach based on genetic algorithm with feature chromosomes
- (2010) Mingyuan Zhao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Evaluation and prediction of blast-induced ground vibration using support vector machine
- (2010) Manoj Khandelwal INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Support vector machine for evaluating seismic-liquefaction potential using shear wave velocity
- (2010) Pijush Samui et al. JOURNAL OF APPLIED GEOPHYSICS
- A systematic analysis of performance measures for classification tasks
- (2009) Marina Sokolova et al. INFORMATION PROCESSING & MANAGEMENT
- Artificial neural network and liquefaction susceptibility assessment: a case study using the 2001 Bhuj earthquake data, Gujarat, India
- (2008) D. Ramakrishnan et al. COMPUTATIONAL GEOSCIENCES
- Slope reliability analysis using a support vector machine
- (2007) Hong-bo Zhao COMPUTERS AND GEOTECHNICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreDiscover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversation