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Future intelligent naval warfare pattern: Artificial intelligence+
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Science & Technology Review | 2019, 37(12) : 86 - 91
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Science & Technology Review | 2019, 37(12): 86-91
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Future intelligent naval warfare pattern: Artificial intelligence+
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ZHANG Hai, CHEN Xiaolong, ZHANG Caisheng, HUANG Yong
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    Naval Aviation University, Yantai 264001, China
Published: 2019-06-28 doi: 10.3981/j.issn.1000-7857.2019.12.015
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The modern sea battlefield environment is complex and the detection objects and the combat forms are diverse. At the same time, the multi-platform equipment has network features, with new requirements and challenges, as compared with that in the traditional naval battle model. With the rapid development of the artificial intelligence technology, the intelligent warfare is beginning to emerge. This paper introduces the concept and the connotation of the intelligent warfare with the application of the artificial intelligence in future naval battles, and analyzes the basic style of the artificial intelligence being integrated into the combat. The future characteristics and laws of the intelligent naval warfare pattern are introduced and the bottlenecks and the challenges faced by the intelligent naval warfare are systematically summarized. Finally, some measures and suggestions for adapting to the future intelligent naval warfare are discussed.
artificial intelligence  /  intelligent naval battle  /  networked collaboration  /  intelligent detection
张海, 陈小龙, 张财生, 黄勇. 人工智能时代智能化海战模式. 科技导报, 2019 , 37 (12) : 86 -91 . DOI: 10.3981/j.issn.1000-7857.2019.12.015
ZHANG Hai, CHEN Xiaolong, ZHANG Caisheng, HUANG Yong. Future intelligent naval warfare pattern: Artificial intelligence+[J]. Science & Technology Review, 2019 , 37 (12) : 86 -91 . DOI: 10.3981/j.issn.1000-7857.2019.12.015
Year 2019 volume 37 Issue 12
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doi: 10.3981/j.issn.1000-7857.2019.12.015
  • Receive Date:2019-05-20
  • Online Date:2019-06-24
  • Published:2019-06-28
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  • Received:2019-05-20
  • Revised:2019-06-10
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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