JOURNAL ARTICLE
A Design and Intelligent Recommendation Method for Ballistic Missile Early Warning Operation Plan.
Published In: International Journal of Pattern Recognition & Artificial Intelligence, 2023, v. 37, n. 16. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Qu, Shi; Meng, Cangzhen; Jin, Hongbin; Zheng, Yi; Li, Xiaobo 3 of 3
Abstract
Ballistic missile attack-defense confrontation is a typical system-of-systems confrontation process. Ballistic missile early warning operations have the characteristics of high time-sensitivity, high complexity and high dynamic. It is impossible to deal with complex battlefield situations at the moment of decision. It is necessary to develop a detection plan in advance for possible battlefield situations, and intelligently recommend the optimal detection plan for the commander to make decisions based on the battlefield situation. The ballistic missile early warning detection plan is designed from three aspects: the design of search screen parameters, the determination of search data rate, and the allocation strategy of search resources in different airspace; Establish the evaluation indicator system and evaluation model of the ballistic missile early warning detection plan, evaluate and optimize multiple detection plans, and automatically recommend them to the commander according to the advantages and disadvantages of the operational effectiveness, connect the auxiliary decision-making chain of "design evaluation recommendation decision", providing support for the intelligent decision-making of the ballistic missile early warning operation. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Pattern Recognition & Artificial Intelligence. 2023/12, Vol. 37, Issue 16, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:0218-0014
- DOI:10.1142/S0218001423590243
- Accession Number:175445596
- Copyright Statement:Copyright of International Journal of Pattern Recognition & Artificial Intelligence is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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