文献
J-GLOBAL ID:202102225840708479
整理番号:21A0563494
Grey-Wolf-Optimizerの助けによる人工ニューラルネットワークに基づく6モードFMFのNFPのモード振幅と位相推定【JST・京大機械翻訳】
Modal Amplitude and Phase Estimation of NFP of Six-Mode FMF Based on Artificial Neural Network with the Help of Grey-Wolf-Optimizer
著者 (8件):
Sugawara N.
(Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan,060-0814)
,
Fujisawa T.
(Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan,060-0814)
,
Nakamura K.
(Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan,060-0814)
,
Sawada Y.
(Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan,060-0814)
,
Sakamoto T.
(NTT Access Network Service Systems Laboratories, NTT Corporation,Tsukuba,Japan,305-0805)
,
Matsui T.
(NTT Access Network Service Systems Laboratories, NTT Corporation,Tsukuba,Japan,305-0805)
,
Nakajima K.
(NTT Access Network Service Systems Laboratories, NTT Corporation,Tsukuba,Japan,305-0805)
,
Saitoh K.
(Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan,060-0814)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
ECOC
ページ:
1-4
発行年:
2020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)