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
The Quantitative Prediction of Auxiliary Sliding Distance o..:
, In:
2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP)
,
Qin, Jingyi
;
Wang, Hong
;
Li, Kang
... - p. 469-472 , 2019
Link:
https://doi.org/10.1109/ICICSP48821.2019.8958580
RT T1
2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP)
: T1
The Quantitative Prediction of Auxiliary Sliding Distance of Freestyle Skiing Based on MLP Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-8958580&Exemplar=1&LAN=DE A1 Qin, Jingyi A1 Wang, Hong A1 Li, Kang A1 Qi, Yangyang A1 Jia, Xiaocong A1 Xu, Shiqiang A1 Dong, Chuansheng YR 2019 K1 Snow K1 Friction K1 Robots K1 Predictive models K1 Temperature sensors K1 Temperature measurement K1 freestyle skiing K1 auxiliary sliding distance K1 quantitative prediction K1 data acquisition robot K1 MLP neural network SP 469 OP 472 LK http://dx.doi.org/https://doi.org/10.1109/ICICSP48821.2019.8958580 DO https://doi.org/10.1109/ICICSP48821.2019.8958580 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)