Indirect analysis of concrete slump using different metaheuristic-empowered neural processors

HIGHLIGHTS

  • who: Hamed Safayenikoo et al. from the Department of Civil Engineering, Chabahar Maritime University, Chabahar, Iran have published the Article: Indirect Analysis of Concrete Slump Using Different Metaheuristic-Empowered Neural Processors, in the Journal: Sustainability 2022, 14, 10373. of /2022/
  • what: This study has been conducted to evaluate the efficiency of biogeographybased optimization (BBO), salp swarm algorithm (SSA), moth-flame optimization (MFO), 3 of 16 and wind driven optimization (WDO) in slump prediction. Due to the main objective of the present study, concrete slump is selected as the dependent factor influenced by concrete contents including . . .

     

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