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Partial Least Squares Regression for Predicting the Speed of Electromagnetic Fuze Plate

Journal of physics. Conference series, 2020-06, Vol.1549 (3), p.32084 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1549/3/032084

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  • Title:
    Partial Least Squares Regression for Predicting the Speed of Electromagnetic Fuze Plate
  • Author: Wang, Wenyun ; Li, Huarong
  • Subjects: Independent variables ; Least squares method ; Regression models
  • Is Part Of: Journal of physics. Conference series, 2020-06, Vol.1549 (3), p.32084
  • Description: The partial least squares regression method was used to establish the regression equation of the speed of the fuze plate after cross validation test. Combined with the measured data, the speed of the fuze plate was analyzed. The results show that the partial least squares regression model effectively overcomes the multiple correlation problem of independent variables, has good interpretability and high fitting accuracy, and is an effective method for analyzing the characteristics of the fuze plate's speed parameters.
  • Publisher: Bristol: IOP Publishing
  • Language: English
  • Identifier: ISSN: 1742-6588
    EISSN: 1742-6596
    DOI: 10.1088/1742-6596/1549/3/032084
  • Source: IOP Publishing Free Content
    IOPscience (Open Access)
    GFMER Free Medical Journals
    ProQuest Central
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