文献
J-GLOBAL ID:201702278597873598
整理番号:17A1636020
外因性入力ニューラルネットワークを用いた非線形自己回帰に基づく作業条件を持つセグメント駆動リニアモータのための結合温度予測法【Powered by NICT】
Joint temperature prediction method for segment-powered linear motor with working condition based on nonlinear autoregressive with exogenous input neural network
著者 (5件):
Teng Teng
(National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China)
,
Zhihua Zhao
(National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China)
,
Weiming Ma
(National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China)
,
Jinli Liu
(National Key Laboratory of Science and Technology on Vessel Integrated Power System, Naval University of Engineering, Wuhan, China)
,
Yaoqiang Duan
(Huazhong University of Science and Technology, Wuhan, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ICEMS
ページ:
1-5
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)