基于ARIMA-BP-LSTM的无人机备件筹措预测方案

© 2024 by the Author. Licensee Art and Design, USA. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC BY-NC 4.0) ( https://creativecommons.org/licenses/by-nc/4.0/ )

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Abstract

无人机备件已成为保障无人机持续作战能效的必需品，为在备件采购筹措时精准预测无人机备件需求数量，提供采购决策依据，本文提出一种基于ARIMA- BP-LSTM无人机备件筹措预测方案。通过ARIMA和BP神经网络对预处理数据集进行重构生成训练数据集，然后利用训练数据集训练LSTM神经网络得到无人机备件筹措预测模型，进而对无人机备件需求进行预测。实验结果表明，本文所提方案与传统的LSTM时间序列预测方案相比，本文所提方案误差减少1.33%，更为精准，可为无人机备件的采购筹措提供支撑。

Keywords

ARIMA

BP 神经网络

LSTM神经网络

无人机备件筹措

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