文献
J-GLOBAL ID:201902249315346851
整理番号:19A2479555
MF-CNN:畳込みニューラルネットワークと多特徴融合を用いた交通流予測
MF-CNN: Traffic Flow Prediction Using Convolutional Neural Network and Multi-Features Fusion
著者 (6件):
YANG Di
(School of Computer Science and Technology, Changchun University of Science and Technology)
,
LI Songjiang
(School of Computer Science and Technology, Changchun University of Science and Technology)
,
PENG Zhou
(School of Computer Science and Technology, Changchun University of Science and Technology)
,
WANG Peng
(School of Computer Science and Technology, Changchun University of Science and Technology)
,
WANG Junhui
(Jilin Provincial Expressway Administration)
,
YANG Huamin
(School of Computer Science and Technology, Changchun University of Science and Technology)
資料名:
IEICE Transactions on Information and Systems (Web)
(IEICE Transactions on Information and Systems (Web))
巻:
E102.D
号:
8
ページ:
1526-1536(J-STAGE)
発行年:
2019年
JST資料番号:
U0469A
ISSN:
1745-1361
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
日本 (JPN)
言語:
英語 (EN)