I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Physics Compliance as a Metric for Neural Network Uncertain..:
, In:
2022 IEEE Symposium Series on Computational Intelligence (SSCI)
,
Ou Yang, Zhong Liang
;
Jiang, Yang
;
Wong, Jian Cheng
... - p. 01-07 , 2022
Link:
https://doi.org/10.1109/SSCI51031.2022.10022196
RT T1 <cTitle>2022 IEEE Symposium Series on Computational Intelligence (SSCI)</cTitle>: T1 <Title>Physics Compliance as a Metric for Neural Network Uncertainty</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10022196&Exemplar=1&LAN=DE A1 Ou Yang, Zhong Liang A1 Jiang, Yang A1 Wong, Jian Cheng A1 Chiu, Pao-Hsiung A1 Zhao, Weijiang A1 Dao, My Ha A1 Ooi, Chin Chun YR 2022 K1 Industries K1 Uncertainty K1 Statistical analysis K1 Computational modeling K1 Neural networks K1 Resonant frequency K1 Predictive models K1 Surrogate models K1 uncertainty estimation K1 physics-based machine learning K1 meta-surface design SP 01 OP 07 LK http://dx.doi.org/https://doi.org/10.1109/SSCI51031.2022.10022196 DO https://doi.org/10.1109/SSCI51031.2022.10022196 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
