HYBRID PARTICLE SWARM OPTIMIZATION AND GREY WOLF OPTIMIZER ALGORITHM FOR CONTROLLED SOURCE AUDIO-FREQUENCY MAGNETOTELLURICS (CSAMT) ONE-DIMENSIONAL INVERSION MODELLING

The Controlled Source Audio-frequency Magnetotellurics (CSAMT) is a geophysical method utilizing artificial electromagnetic signal source to estimate subsurface resistivity structures.One-dimensional (1D) inversion modelling of CSAMT data is non-linear and the solution can be estimated by using global optimization algorithms.Particle Swarm Optimiza

This study presents an application of artificial neural network (ANN) and Bayesian network (BN) for evaluation of jamming risk of the shielded tunnel boring machines (TBMs) in adverse ground conditions such as squeezing grounds.The analysis is based on database of tunneling cases by numerical modeling to evaluate the ground convergence and possibil

Supervised machine learning relies on the accessibility of large datasets of annotated data.This is essential since small datasets generally lead to overfitting when training high-dimensional machine-learning models.Since the manual annotation of such large datasets is a long, tedious and expensive process, another possibility is to artificially in

Observed associations between events can be validated by statistical information of reliability or by testament of communicative sources.We tested whether toddlers learn from their own observation of efficiency, assessed by statistical information on reliability of interventions, or Fender Flares from communicatively presented demonstration, when t