文献
J-GLOBAL ID:202202263661140717
整理番号:22A0438889
安全応用のための群衆動力学モデルを較正するためのBayes推論法【JST・京大機械翻訳】
Bayesian inference methods to calibrate crowd dynamics models for safety applications
著者 (5件):
Godel Marion
(Department of Informatics, Technical University of Munich, Boltzmannstrasse 3, 85748 Garching, Germany)
,
Godel Marion
(Department of Computer Science and Mathematics, Munich University of Applied Sciences, Lothstrasse 64, 80335 Muenchen, Germany)
,
Bode Nikolai
(Department of Engineering Mathematics, University of Bristol, Ada Lovelace Building, University Walk, Bristol, BS8 1TW, United Kingdom)
,
Koster Gerta
(Department of Computer Science and Mathematics, Munich University of Applied Sciences, Lothstrasse 64, 80335 Muenchen, Germany)
,
Bungartz Hans-Joachim
(Department of Informatics, Technical University of Munich, Boltzmannstrasse 3, 85748 Garching, Germany)
資料名:
Safety Science
(Safety Science)
巻:
147
ページ:
Null
発行年:
2022年
JST資料番号:
W0879A
ISSN:
0925-7535
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)