A variance-based information diffusion coefficient optimization algorithm and its application in missile effectiveness evaluation

In view of the problem that credibility of missile effectiveness evaluation model validation is not enough under the condition of incomplete samples, this paper introduces the information diffusion estimation theory, mainly studies the key issues-the optimization of diffusion coefficient in diffusio...

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Published in:2014 Communications Security Conference (CSC 2014) p. 30
Main Authors: Wang, Li, Tang, Xiaoan, Kong, Longxing, Jiang, Libing
Format: Conference Proceeding
Language:English
Published: Stevenage, UK IET 2014
The Institution of Engineering & Technology
Subjects:
Optimisation techniques
Other topics in statistics
Weapons
optimisation
estimation theory
empirical equation algorithm
information diffusion estimation theory
variance-based information diffusion coefficient optimization algorithm
missiles
missile effectiveness evaluation model
ISBN:1849198446, 9781849198448
Online Access:Get full text
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Abstract In view of the problem that credibility of missile effectiveness evaluation model validation is not enough under the condition of incomplete samples, this paper introduces the information diffusion estimation theory, mainly studies the key issues-the optimization of diffusion coefficient in diffusion estimation, puts forward a variance-based algorithm to optimize information diffusion coefficient, theoretically derives the correctness of the algorithm, and proposes a method to evaluate the effectiveness of missile models on the strength of the algorithm. Experiments show that, the precision of information diffusion estimation adopting diffusion coefficient based on variance, is superior to the empirical equation algorithm. And the method evaluating the effectiveness of missile models could effectively implement the scientific verification and selection of the models.
AbstractList In view of the problem that credibility of missile effectiveness evaluation model validation is not enough under the condition of incomplete samples, this paper introduces the information diffusion estimation theory, mainly studies the key issues-the optimization of diffusion coefficient in diffusion estimation, puts forward a variance-based algorithm to optimize information diffusion coefficient, theoretically derives the correctness of the algorithm, and proposes a method to evaluate the effectiveness of missile models on the strength of the algorithm. Experiments show that, the precision of information diffusion estimation adopting diffusion coefficient based on variance, is superior to the empirical equation algorithm. And the method evaluating the effectiveness of missile models could effectively implement the scientific verification and selection of the models.
Author Xiaoan Tang
Longxing Kong
Libing Jiang
Li Wang
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Keywords optimisation
estimation theory
empirical equation algorithm
information diffusion estimation theory
variance-based information diffusion coefficient optimization algorithm
missiles
missile effectiveness evaluation model
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Snippet In view of the problem that credibility of missile effectiveness evaluation model validation is not enough under the condition of incomplete samples, this...
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SubjectTerms Optimisation techniques
Other topics in statistics
Weapons
Title A variance-based information diffusion coefficient optimization algorithm and its application in missile effectiveness evaluation
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