A novel ensemble model based on GMDH-type neural network for the prediction of CPT-based soil liquefaction

Seismic liquefaction potential assessed by neural networks

(2017) Xinhua Xue et al.   Environmental Earth Sciences

Soil compaction parameters prediction using GMDH-type neural network and genetic algorithm

(2017) Alireza Ardakani et al.   European Journal of Environmental and Civil Engineering

Dry unit weight of compacted soils prediction using GMDH-type neural network

(2017) Mahmoud Hassanlourad et al.   European Physical Journal Plus

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

Cone penetration test (CPT)-based soil behaviour type (SBT) classification system — an update

(2016) P.K. Robertson   CANADIAN GEOTECHNICAL JOURNAL

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

(2016) Xinhua Xue et al.   Environmental Earth Sciences

Prediction of recompression index using GMDH-type neural network based on geotechnical soil properties

(2015) Afshin Kordnaeij et al.   SOILS AND FOUNDATIONS

The use of index parameters to predict soil geotechnical properties

(2014) Reza Jamshidi Chenari et al.   Arabian Journal of Geosciences

The use of neural networks for CPT-based liquefaction screening

(2014) Yusuf Erzin et al.   Bulletin of Engineering Geology and the Environment

Prediction of minimum factor of safety against slope failure in clayey soils using artificial neural network

(2014) Jamal A. Abdalla et al.   Environmental Earth Sciences

Tenfold cross validation artificial neural network modeling of the settlement behavior of a stone column under a highway embankment

(2013) Zamri Chik et al.   Arabian Journal of Geosciences

Short-term effects of air pollution on lower respiratory diseases and forecasting by the group method of data handling

(2012) Wenjin Zhu et al.   ATMOSPHERIC ENVIRONMENT

Mathematical model of liquid–liquid equilibrium for a ternary system using the GMDH-type neural network and genetic algorithm

(2011) H. Ghanadzadeh et al.   APPLIED MATHEMATICAL MODELLING

New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization

(2010) Adem Kalinli et al.   ENGINEERING GEOLOGY

Interpretation of cone penetration tests — a unified approach

(2009) P. K. Robertson   CANADIAN GEOTECHNICAL JOURNAL

Prediction of pile settlement using artificial neural networks based on standard penetration test data

(2009) F. Pooya Nejad et al.   COMPUTERS AND GEOTECHNICS

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

ANN-based model for predicting the bearing capacity of strip footing on multi-layered cohesive soil

(2008) Y.L. Kuo et al.   COMPUTERS AND GEOTECHNICS