... prediction models are based on a single machine learning method, which is not generalised enough and has a low accuracy. In view of this, a mathematical model for engineering cost prediction is constructed by combining a random forest algorithm, the ridge regression algorithm and the extreme gradient...

... and verification processes are shown in Table 1 . geotechnical engineering mathematical modelling stress analysis a_j constant F function constructed by the modelling process f function defined by the user...

... for an anomaly detection method using modern unsupervised deep learning with an engineering data set. (corresponding author: a.mikhailova18@imperial.ac.uk) 15 12 2019 14 09 2020 ICE Publishing: All rights reserved 2019 bridges mathematical modelling statistical analysis...

... 2017 14 05 2018 ICE Publishing: All rights reserved 2018 bridges mathematical modelling statistical analysis Completed in March 2016, a 26·8 m composite steel-concrete half-through railway bridge located in Staffordshire, UK, was instrumented during its construction...

... are omitted. mathematical modelling transport management transport planning C choice-set c index of option from choice set d_opt predicted driving trip duration for optimistic traffic d_pes predicted driving trip...

...: soga@berkeley.edu) 17 11 2017 27 11 2017 ICE Publishing: All rights reserved 2018 information technology infrastructure planning mathematical modelling The twenty-first century is witnessing a rapid rise of urbanisation in both the developed and the developing worlds...