Journal of Projectiles, Rockets, Missiles and Guidance >
R/S UAV Missile Launch Parameter Extraction by PSO Neutral Network Algorithm
Received date: 2011-12-14
Online published: 2025-05-29
A method of PSO neutral network was proposed, by which the temperature of R/S UAV during missile launch process (MLP) could be forecasted. In order to find optimal structure of RBF neutral network, a switch RBF neural network was established, and the PSO algorithm was used to get the switch value and parameters of the switch RBF neural network. Training results showed that the dummy function from PSO algorithm would indicate the relationship between parameters of R/S UAV surface temperature well. The efficiency could be improved through MLP by PSO method.
Key words： R/S UAV; weapon launch; RBF neutral network; PSO algorithm; temperature predication
Zhu Bing , Zhu Xiaoping , Zhou Zhou , Xiong Lei . R/S UAV Missile Launch Parameter Extraction by PSO Neutral Network Algorithm[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2012 , 32(2) : 177 -180 . DOI: 10.15892/j.cnki.djzdxb.2012.02.013
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