文献
J-GLOBAL ID:201802235114154213
整理番号:18A1676929
HF通信の知的周波数選択のための異種情報融合深部強化学習【JST・京大機械翻訳】
A heterogeneous information fusion deep reinforcement learning for intelligent frequency selection of HF communication
著者 (6件):
Liu Xin
(Guangxi key Laboratory Fund of Embedded Technology and Intelligent System, Guilin University of Technology, Guilin 541007, China)
,
Xu Yuhua
(College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China)
,
Cheng Yunpeng
(College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China)
,
Li Yangyang
(College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China)
,
Zhao Lei
(College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China)
,
Zhang Xiaobo
(College of Communication Engineering, Army Engineering University of PLA, Nanjing 210007, China)
資料名:
China Communications
(China Communications)
巻:
15
号:
9
ページ:
73-84
発行年:
2018年
JST資料番号:
W2359A
ISSN:
1673-5447
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
中国 (CHN)
言語:
英語 (EN)