Three hybrid intelligent models in estimating flyrock distance resulting from blasting
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DOI: 10.1007/s00366-018-0596-4
Abstract: Flyrock is an adverse effect produced by blasting in open-pit mines and tunnelling projects. So, it seems that the precise estimation of flyrock is essential in minimizing environmental effects induced by blasting. In this study,… read more here.
Keywords: pso ann; pso; model; flyrock ... See more keywords
Rock tensile strength prediction using empirical and soft computing approaches
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DOI: 10.1007/s10064-018-1405-4
Abstract: The tensile strength of rocks plays an important role in site investigation during the initial phase of many construction projects. However, laboratory tests as direct methods for tensile strength prediction are not considered efficient in… read more here.
Keywords: tensile strength; strength; pso ann; strength prediction ... See more keywords
PSO–ANN-based prediction of cobalt leaching rate from waste lithium-ion batteries
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DOI: 10.1007/s10163-019-00933-2
Abstract: Leaching is a complex solid–liquid reaction which has an important influence on the recovery efficiency of the spent lithium-ion batteries (LIBs). Therefore, it is of significant importance to utilize an appropriate technique to predict the… read more here.
Keywords: pso ann; cobalt; ion batteries; rate ... See more keywords
Bond strength prediction of concrete-encased steel structures using hybrid machine learning method
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DOI: 10.1016/j.istruc.2021.04.018
Abstract: Abstract The mechanical behavior of concrete-encased steel (CES) structures is crucially linked to the bond strength between steel section and concrete which should be predicted with ease and accuracy. In this paper, an efficient and… read more here.
Keywords: steel; pso ann; bond strength; concrete ... See more keywords
Potential of hybrid evolutionary approaches for assessment of geo-hazard landslide susceptibility mapping
Sign Up to like & getrecommendations! Published in 2019 at "Geomatics, Natural Hazards and Risk"
DOI: 10.1080/19475705.2019.1607782
Abstract: Abstract As a prevalent disaster, landslides cause severe loss of property and human life worldwide. The specific objective of this study is to evaluate the capability of artificial neural network (ANN) synthesized with artificial bee… read more here.
Keywords: landslide; pso ann; susceptibility; abc ... See more keywords