Group method of data handling to predict scour depth around bridge piers

Prediction of principal ground-motion parameters using a hybrid method coupling artificial neural networks and simulated annealing

(2011) Amir Hossein Alavi et al.   COMPUTERS & STRUCTURES

Linear genetic programming to scour below submerged pipeline

(2011) H.Md. Azamathulla et al.   OCEAN ENGINEERING

ANFIS-based approach for scour depth prediction at piers in non-uniform sediments

(2010) M. Muzzammil et al.   JOURNAL OF HYDROINFORMATICS

An alternative approach for investigation of the wave-induced scour around pipelines

(2009) M. H. Kazeminezhad et al.   JOURNAL OF HYDROINFORMATICS

Modelling of multiple short-length-scale stall cells in an axial compressor using evolved GMDH neural networks

(2008) N. Amanifard et al.   ENERGY CONVERSION AND MANAGEMENT

An investigation on the Su–NSPT correlation using GMDH type neural networks and genetic algorithms

(2008) F. Kalantary et al.   ENGINEERING GEOLOGY

RETRACTED: Investigating the efficiency in oil futures market based on GMDH approach

(2008) Mohsen Mehrara et al.   EXPERT SYSTEMS WITH APPLICATIONS

Design of hybrid differential evolution and group method of data handling networks for modeling and prediction

(2008) Godfrey C. Onwubolu   INFORMATION SCIENCES

Prediction of Scour Downstream of Grade-Control Structures Using Neural Networks

(2008) Aytac Guven et al.   JOURNAL OF HYDRAULIC ENGINEERING