Results 11 to 20 of about 16,890,236 (293)

Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study [PDF]

Journal of Computing and Information Science in Engineering, 2022
Surrogate models play a vital role in overcoming the computational challenge in designing and analyzing nonlinear dynamic systems, especially in the presence of uncertainty.
Chen Jiang, Ying Zhao, Hu, Zhen, Jiang, Chen, Michael D. Todd, Zhen Hu, Manuel A. Vega, Todd, Michael D, Vega, Manuel A, Zhao, Ying   +9 more
core   +5 more sources

Dynamic Analysis of a Moored Spar Platform in a Uniform Current: Fluid Load Prediction Using a Surrogate Model

Journal of Marine Science and Engineering
A moored spar platform, equipped with various instruments, serves as a crucial tool in hydrological monitoring. However, conducting dynamic analyses of a single spar that endures wind and current requires significant amount of computational time.
Xinming Wei, Xiangqian Zhu, Ruiyang Cao, Jinglei Wang, Xinyu Li, Qing’an Li, Jin-Hwan Choi   +6 more
doaj   +2 more sources

A GRNN Neural Network-Based Surrogate Model for Ship Dynamic Stability Calculation

Journal of Marine Science and Engineering
The assessment of ship dynamic stability in waves is crucial for navigation safety. To mitigate accidents, the International Maritime Organization (IMO) has formulated corresponding technical standards.
Qiang Sun, Jie Tan, Yaohua Zhou
doaj   +2 more sources

Dynamic Radar Cross-Section Estimation of Chaff Clouds Based on a Surrogate Model for Spatiotemporal Distribution

IEEE Access
This paper presents a novel surrogate modeling approach for estimating the dynamic radar cross-section (RCS) of chaff clouds under diverse launch and environmental conditions.
Jun-Seon Kim, Uk Jin Jung, Su Hong Park, Donghyun Kim, Moonhong Kim, Dongwoo Sohn, Dong-Wook Seo   +6 more
doaj   +2 more sources

Surrogate Models for Optimization of Dynamical Systems [PDF]

SSRN Electronic Journal, 2021
Driven by increased complexity of dynamical systems, the solution of system of differential equations through numerical simulation in optimization problems has become computationally expensive. This paper provides a smart data driven mechanism to construct low dimensional surrogate models.
Khowaja, Kainat, Shcherbatyy, Mykhaylo, Karl Härdle, Wolfgang, Belomestny, Denis, Butucea, Cristina, Mammen, Enno, Moulines, Eric, Reiß, Markus, Ulyanov, Vladimir V.   +8 more
openaire   +3 more sources

Dynamical model of surrogate reactions [PDF]

Physical Review C, 2011
17 pages, 5 ...
Y. Aritomo, S. Chiba, K. Nishio
openaire   +2 more sources

Surrogate Modelling of Dynamic Phasor Simulations of Electrical Drives

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society, 2022
IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society : 17-20 Oct. 2022 48th Annual Conference of the IEEE Industrial Electronics Society, IECON 2022, Brussels, Belgium, 17 Oct 2022 - 20 Oct 2022; IEEE 6 Seiten (2022).
Nasrulloh Ratu Bagus Satrio Loka, Sriram Karthik Gurumurthy, Bernard S. Amevor, Antonello Monti, Tom Dhaene, Ivo Couckuyt   +5 more
openaire   +3 more sources

Surrogate Ensemble Forecasting for Dynamic Climate Impact Models

CoRR, 2022
As acute climate change impacts weather and climate variability, there is increased demand for robust climate impact model predictions from which forecasts of the impacts can be derived. The quality of those predictions are limited by the climate drivers for the impact models which are nonlinear and highly variable in nature.
Julian Kuehnert, Deborah McGlynn, Sekou L. Remy, Aisha Walcott-Bryant, Anne Jones   +4 more
openaire   +2 more sources

s3593810/ML-Based-Surrogate-High-Resolution-LUTO-Model-V2: LUTO High-Resolution Surrogate Model

, 2023
High-Resolution Suggogate Model based on LUTO V1.0 Name: Scenario and ANO Data Combined.csv Description: Scenarios Settings for 24624 Scenarios Name: SampleScenarioData.csv Description: Sample Data for 1 Scenario at a cell level (presented as 812 ...
Md Shakil Khan
core   +1 more source

Towards Data-Driven Dynamic Surrogate Models for Ocean Flow [PDF]

Proceedings of the Platform for Advanced Scientific Computing Conference, 2019
Coarse graining of (geophysical) flow problems is a necessity brought upon us by the wide range of spatial and temporal scales present in these problems, which cannot be all represented on a numerical grid without an inordinate amount of computational resources. Traditionally, the effect of the unresolved eddies is approximated by deterministic closure
W.N. Edeling (Wouter), D.T. Crommelin (Daan)   +1 more
openaire   +4 more sources