Improved Dynamic Bayesian Networks in Sea-Battlefield Situation Assessment-Reference-Cited by-同舟云学术

Improved Dynamic Bayesian Networks in Sea-Battlefield Situation Assessment

Published:2014-06 Issue: Volume:936 Page:2149-2154
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Yu Yong Tao¹,Ding Ying²

Affiliation:

1. Naval Academy of Armament

2. Beijing Sino-Ocean JIYE Propetry Management CO., LTD

Abstract

How to efficiently evaluate the dynamic and complex the sea-battlefield situation facing the reality of the problem is the operational decision support. According to research sea-battlefield situation assessment based on improved dynamic Bayesian networks. First constructed the sea-battlefield situation assessment Bayesian networks model; second specific assessment task to establish the corresponding dynamic Bayesian networks; again reintroduced extended hidden variables, supplemental situation information to construct improved dynamic Bayesian networks; finally, according to the battlefield event reasoning, complete sea-battlefield situation assessment.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.936.2149.pdf

Reference7 articles.

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