Open AccessA Calculation Method of Fragment Number and Mass Distribution of Blast-fragmentation Warhead based on Neural Network
Author(s) -
Yi Sun,
Li Jun,
Dawei Liu,
Jirong Xue,
Zhiming Guo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1961/1/012070
Subject(s) - warhead , fragmentation (computing) , artificial neural network , distribution (mathematics) , fragment (logic) , nonlinear system , statistical physics , computer science , basis (linear algebra) , algorithm , physics , mathematics , mathematical analysis , artificial intelligence , geometry , quantum mechanics , nuclear physics , operating system
The Mott distribution model is analyzed and deduced in this paper. On this basis, a calculation method of fragment number and mass distribution of blast-fragmentation warhead based on Neural Network is proposed. Based on the Mott distribution model, the empirical parameters in the Mott distribution model are determined by using the strong nonlinear mapping ability of BP neural network and the associative memory ability of external stimuli and input information Then, the number and mass distribution of fragments are determined, and the calculation speed and result accuracy are improved.