Research on the GM(1,1) Method in Nuclear-Explosion-Yield Detection

DOI

10.2991/asei-15.2015.17How to use a DOI?

Keywords

Nuclear-explosion-yield Detection, GM(1,1) Modeling, Data Preparation, Parameters Estimation.

Abstract

For solving the questions that the practical value of the existing nuclear-explosion-yield detecting methods are excessively low, based on the GM(1,1) and the precondition of plenty nuclear explosion test data opened by home and overseas, the new model detecting nuclear explosion yield has been developed, and using the state estimating equation of the data precondition, a kind of new optimal estimation method detecting the nuclear explosion yield and a kind of means identifying the bad data have been established. The result of the validation applying nuclear explosion test data indicated that the new optimal estimation method using the grey theory to estimate the nuclear explosion yield is feasible. Compared with the existing detecting technology, the new estimation method can reduce error range, advance precision, offset the deficiencies of the existing means detecting the nuclear explosion yield, and enlarge the practical application value of the existing estimation models detecting the nuclear explosion yield.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiliang Zhao
AU  - Minghu Zhang
AU  - Hongmin Chen
AU  - Zhongguo Mu
PY  - 2015/05
DA  - 2015/05
TI  - Research on the GM(1,1) Method in Nuclear-Explosion-Yield Detection
BT  - Proceedings of the 2015 International conference on Applied Science and Engineering Innovation
PB  - Atlantis Press
SP  - 74
EP  - 77
SN  - 2352-5401
UR  - https://doi.org/10.2991/asei-15.2015.17
DO  - 10.2991/asei-15.2015.17
ID  - Zhao2015/05
ER  -