Study on performance control of intercalation melt-blown nonwovens

HIGHLIGHTS

  • What: In this paper analysis and Spearman BP neural network typical analysis multiple nonlinear regression genetic algorithm multiple linear regression NSGA-II multi-objective optimization model and other algorithms and models are used to solve the control problems of interlayer melt-blown Firstly the of and before and after were compared by mapping.
  • Who: . Problem Restatement and colleagues from the Changchun University, Changchun, China have published the Article: Original Paper, in the Journal: (JOURNAL)

SUMMARY

    To Genetic Algorithm Genetic Algorithm (GA) originates from the study of computer simulation of biological systems . . .

     

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