Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications

The Analysis of the Dispersion Characteristic of Impact Point Sequence Coordinates with Armament Projecting on Fixed Targets

Authors
Xiangwen Leng, Xu Zhang, Bo Li, Lin Shao
Corresponding Author
Xiangwen Leng
Available Online January 2016.
DOI
https://doi.org/10.2991/icaita-16.2016.68How to use a DOI?
Keywords
impact point; sequence; dispersion; coefficient
Abstract
when armament projecting on fixed target is conducted, the deviation of the actual position of the impact point relative to the predetermined position has substantial randomness, causing difficulty in the analysis of armament scale or concentrated application effect. By building sequence coordinates for impact point coordinate components according to certain rules, with the distribution theory of multiple random variables(probability theory), obtain the regularity that the expected sequence coordinates of individual impact points “on the straight line which can be expressed by math”; meanwhile, put forward a simple and convenient method of calculating the average and variance of impact point sequence coordinates of individual through key coefficients and lay foundation for making researches on the evaluation of armament application efficiency and optimization of firing parameters.
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Volume Title
Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
Series
Advances in Intelligent Systems Research
Publication Date
January 2016
ISBN
978-94-6252-162-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/icaita-16.2016.68How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiangwen Leng
AU  - Xu Zhang
AU  - Bo Li
AU  - Lin Shao
PY  - 2016/01
DA  - 2016/01
TI  - The Analysis of the Dispersion Characteristic of Impact Point Sequence Coordinates with Armament Projecting on Fixed Targets
BT  - Proceedings of the 2016 International Conference on Artificial Intelligence: Technologies and Applications
PB  - Atlantis Press
SP  - 275
EP  - 277
SN  - 1951-6851
UR  - https://doi.org/10.2991/icaita-16.2016.68
DO  - https://doi.org/10.2991/icaita-16.2016.68
ID  - Leng2016/01
ER  -