Application of Neural Network on Missile Storage Reliability Forecasting

To get better effect of missile storage reliability forecasting, the paper put forward a method based on neural network, and discussed steps of forecasting based on back propagation network and radial basis function network. At last, the storage reliability of one type ship-to-ship missile was forec...

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Veröffentlicht in:	Danjian yu Zhidao Xuebao / Journal of Projectiles, Rockets, Missiles and Guidance Rockets, Missiles and Guidance, 2010-11, Vol.30 (6), p.78-81
Hauptverfasser:	Chen, Haijian, Teng, Kenan, Li, Bo, Gu, Junyuan
Format:	Artikel
Sprache:	chi
Schlagworte:	Back propagation Forecasting Missile storage Missiles Networks Neural networks Rockets Trains
Online-Zugang:	Volltext
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