Improving prediction of soil liquefaction using hybrid optimization algorithms and a fuzzy support vector machine

Evaluating stability of underground entry-type excavations using multivariate adaptive regression splines and logistic regression

(2017) Anthony T.C. Goh et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of genetic algorithm-based support vector machines for prediction of soil liquefaction

(2016) Xinhua Xue et al.   Environmental Earth Sciences

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

Seismic liquefaction potential assessed by support vector machines approaches

(2015) Xinhua Xue et al.   Bulletin of Engineering Geology and the Environment

Assessment of soil liquefaction based on capacity energy concept and multivariate adaptive regression splines

(2015) Wengang Zhang et al.   ENGINEERING GEOLOGY

Estimation of ultimate loads of eccentric-inclined loaded strip footings rested on sandy soils

(2013) Murat Ornek   NEURAL COMPUTING & APPLICATIONS

Multivariate adaptive regression splines for analysis of geotechnical engineering systems

(2012) W.G. Zhang et al.   COMPUTERS AND GEOTECHNICS

New models for probability of liquefaction using standard penetration tests based on an updated database of case histories

(2012) C. Hsein Juang et al.   ENGINEERING GEOLOGY

Neural computing models for prediction of permeability coefficient of coarse-grained soils

(2011) Işık Yilmaz et al.   NEURAL COMPUTING & APPLICATIONS

Soil liquefaction modeling by Genetic Expression Programming and Neuro-Fuzzy

(2010) C. Kayadelen   EXPERT SYSTEMS WITH APPLICATIONS

Reliability analysis of soil liquefaction based on standard penetration test

(2008) Sanjay K. Jha et al.   COMPUTERS AND GEOTECHNICS

A hybrid genetic algorithm and particle swarm optimization for multimodal functions

(2007) Yi-Tung Kao et al.   APPLIED SOFT COMPUTING

Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm–support vector machines: HGASVM

(2007) Engin Avci   EXPERT SYSTEMS WITH APPLICATIONS