... of artificial neural networks (ANNs) in cemented soils and the potential for using the technique, as well as the feasibility of extrapolation to new geotechnical or civil and environmental engineering segments. Design/methodology/approach This work is characterized as being bibliometric and systematic...

... in the MATLAB for the fixture-workpiece system so that the workpiece elastic deformation is determined. The artificial neural network (ANN) is used to develop an empirical model. The results of deformation obtained for different fixture layouts from FEM are used to train the ANN and finally the empirical model...

... efficient in the estimation of unknown parameters for experimentally measured temperature data compared to GA and PSO algorithms. Originality/value Surrogate model using ANN based on computational fluid dynamics simulations and in-house steady state fin experiments to estimate the heat flux and heat...

... with the R² of 0.904, Davies et al. with the R² of 0.865 and ANN with the R² of 0.911, respectively. As a result, the proposed ICA-linear, ICA-power and ICA-quadratic equations receive suitable performances to predict the PPV. However, ICA-linear equation...

... be contacted at: zty2009@hit.edu.cn 26 02 2017 27 03 2017 22 04 2017 © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only ANN Kalman filter Multiple linear regression Construction project’s cost prediction Least square-support vector...