Journal of Projectiles, Rockets, Missiles and Guidance >
A Projectile Impact-point Prediction Method Based on Novel BP Neural Network
Received date: 2013-05-31
Online published: 2025-05-30
To predict the projectile impact-point precisely and quickly, a prediction method based on novel BP neural network was raised in this paper. According to the particularity of impact-point prediction, the two hidden layer structure with coordinate hidden layer was proposed, then the training algorithm was modified with adaptive and additional momentum, and then the training sample was optimized. At last, the network was trained and tested by simulation, and highly precise results were got, which means this method is reasonable and effective, and can be served as a new impact-point prediction approach.
LI Zhipeng , ZHAO Handong , ZHANG Shuai , JIAO Junhu , ZHANG Jianye . A Projectile Impact-point Prediction Method Based on Novel BP Neural Network[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2014 , 34(2) : 75 -77,80 . DOI: 10.15892/j.cnki.djzdxb.2014.02.023
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