In order to improve the quality of decision-making on the protection of aerospace materials in land aviation units, the consumption of training aerospace materials in army aviation units is predicted and analyzed. With an army aviation unit training aerospace material consumption as the main research object, the influence factors of helicopter aerospace material consumption are analyzed, partial least squares regression and Markov chain are used to establish a prediction model of helicopter aerospace material consumption, and through the historical data of aerospace material consumption in helicopter training, aerospace material consumption in helicopter training is predicted, and the results show that the partial least squares regression and Markov chain model, which can predict the consumption of helicopter aerial materials more accurately.


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    Title :

    Prediction of helicopter aircraft material consumption based on partial least squares regression and Markov chain models


    Contributors:
    Saxena, Sandeep (editor) / Zhao, Cairong (editor) / Zhang, Xiaowei (author) / Zhou, Wei (author) / Dong, Wentao (author) / Lin, Yuanyuan (author) / Cui, Wei (author) / Dong, Yucai (author)

    Conference:

    International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2023) ; 2023 ; Yinchuan, China


    Published in:

    Proc. SPIE ; 12941 ; 1294126


    Publication date :

    2023-12-07





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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