Multi-objective feature selection (MOFS) algorithms for prediction of liquefaction susceptibility of soil based on in situ test methods
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Title
Multi-objective feature selection (MOFS) algorithms for prediction of liquefaction susceptibility of soil based on in situ test methods
Authors
Keywords
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Journal
NATURAL HAZARDS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-06-07
DOI
10.1007/s11069-020-04089-3
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Related references
Note: Only part of the references are listed.- Predicting seismic-induced liquefaction through ensemble learning frameworks
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- 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
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- (2016) Jinrong He et al. NEURAL COMPUTING & APPLICATIONS
- Training Feedforward Neural Networks Using Symbiotic Organisms Search Algorithm
- (2016) Haizhou Wu et al. Computational Intelligence and Neuroscience
- The use of neural networks for CPT-based liquefaction screening
- (2014) Yusuf Erzin et al. Bulletin of Engineering Geology and the Environment
- Symbiotic Organisms Search: A new metaheuristic optimization algorithm
- (2014) Min-Yuan Cheng et al. COMPUTERS & STRUCTURES
- Evaluation of liquefaction potential of soil based on standard penetration test using multi-gene genetic programming model
- (2013) Pradyut K. Muduli et al. Acta Geophysica
- Shear-Wave Velocity–Based Probabilistic and Deterministic Assessment of Seismic Soil Liquefaction Potential
- (2013) R. Kayen et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- 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
- A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems
- (2011) Amir Hossein Gandomi et al. NEURAL COMPUTING & APPLICATIONS
- Validation and Application of Empirical Liquefaction Models
- (2010) Thomas Oommen et al. JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING
- NSGA-II algorithm for multi-objective generation expansion planning problem
- (2008) P. Murugan et al. ELECTRIC POWER SYSTEMS RESEARCH
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