.... & Min. Sci., 70, 450-459. 3. Hojjati S., Tumac D., Jeon S., (2021). Accurate performance prediction model for impact hammer using customized evolutionary algorithm, Tun. & Under. Space Tech., doi.org/10.1016/j.tust.2020.103773. 4. Hojjati S., Jeong H., Cho J.W., Tumac D., Jeon S., (2022). A prediction...

... learning Upstream Oil & Gas neural network stability analysis evolutionary algorithm classification Artificial Intelligence Feng optimization rock engineering support design application mechanical parameter recognition excavation intelligent rock mechanics methodology powerhouse tunnel...

... Artificial Intelligence displacement evolutionary algorithm Engineering neural network Rock mechanics machine learning Upstream Oil & Gas numerical analysis Support Vector Machine optimization genetic algorithm excavation intelligent recognition intelligent rock mechanics...

... shear strain rock slope Artificial Intelligence calculation PSO evolutionary algorithm stability analysis neighborhood stability machine learning criterion failure surface Particle Swarm Optimization best position Bishop slope stability critical slip surface Bishop method slip surface...

... Reservoir Characterization machine learning structural geology Artificial Intelligence Engineering reservoir geomechanics Upstream Oil & Gas evolutionary algorithm Wellbore Design stability rock mass tunnel chinese 1 excavation utilization deformation sustainable development...

... machine learning genetic programming safety factor clement method Artificial Intelligence evaluation subdomain parallel computing method evolutionary algorithm boundary window nt parallel genetic programming geotechnical engineering application difference method Supercomputer...

... replacement machine learning optimization problem sidewall finite element method soft rock mass deformation excavation optimum scheme damage zone replacement tunnel evolutionary algorithm structural geology replacement scheme main chamber construction cavern group 2001. Swets...

... for search or recognition of unknown parameters in the model at this point. 170rthe learning of unknown structure of the model, there arc two kinds of methods can be adopted effectively. One is learning based on neural networks and another is search of evolutionary algorithms. A series of effective methods...

... machine learning objective function vector rock mass probability evolutionary algorithm initial stress field displacement genetic algorithm fitness tunnel Artificial Intelligence inverse problem algorithm Parameter Identification Procedure Inversion Algorithm initial stress field...