基于DBN效能拟合的舰艇编队作战效能敏感性分析

Bo Li, Haoran Luo, Linyu Tian, Yuanxun Wang

科研成果: 期刊稿件文章同行评审

5 引用 (Scopus)

摘要

Aiming at the problem of insufficient data utilization and high requirements for data integrity in the traditional ship formation combat effectiveness analysis analysis method, this paper proposes a performance analysis fitting model based on deep belief network. Start with the most representative sensitivity analysis method-Sobol index method, and then take characteristic learning ability of deep learning, constructing a effectiveness fitting network based on Deep Belief Network(DBN), with network training and parameter optimization combined with unsupervised pre-training and supervised tuning. Finally, the experiments are simulated and analyzed based on the formation of air defense combat. Simulation results verify the applicability and effectiveness of the model.

投稿的翻译标题Sensitivity analysis of ship formation operational effectiveness based on DBN effectiveness fitting
源语言繁体中文
文章编号323214
期刊Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica
40
12
DOI
出版状态已出版 - 25 12月 2019

关键词

  • Deep Belief Network(DBN)
  • Effectiveness analysis
  • Effectiveness fitting model
  • Sensitivity analysis
  • Ship formation air defense

指纹

探究 '基于DBN效能拟合的舰艇编队作战效能敏感性分析' 的科研主题。它们共同构成独一无二的指纹。

引用此