文献
J-GLOBAL ID:202102247314788365
整理番号:21A0268091
表面容器のための拡張Kalmanフィルタ訓練ニューラルネットワークを用いたオートパイロットの実験的および数値的研究【JST・京大機械翻訳】
Experimental and numerical study of autopilot using Extended Kalman Filter trained neural networks for surface vessels
著者 (4件):
Wang Yuanyuan
(National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College, University of Tasmania, Launceston, TAS, 7250, Australia)
,
Wang Yuanyuan
(Research and Development Centre of Maritime Autonomous Surface Ship, iCloudNav, Zhuhai, Guangdong, 519000, China)
,
Chai Shuhong
(National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College, University of Tasmania, Launceston, TAS, 7250, Australia)
,
Nguyen Hung Duc
(National Centre for Maritime Engineering and Hydrodynamics, Australian Maritime College, University of Tasmania, Launceston, TAS, 7250, Australia)
資料名:
International Journal of Naval Architecture and Ocean Engineering
(International Journal of Naval Architecture and Ocean Engineering)
巻:
12
ページ:
314-324
発行年:
2020年
JST資料番号:
W3445A
ISSN:
2092-6782
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)