Zobrazeno 1 - 10
of 486
pro vyhledávání: '"adaptive sequential sampling"'
We revisit the procedure proposed by Bhandari et al. (2009) in the context of two-treatment clinical trials, with the objective of minimizing the applications of a less effective drug to the least number of patients. Our focus is on an adaptive seque
Externí odkaz:
http://arxiv.org/abs/2412.17791
Publikováno v:
International Journal of Computer Science & Information Technology (IJCSIT) Vol 15, No 3, June 2023
High-dimensional complex multi-parameter problems are prevalent in engineering, exceeding the capabilities of traditional surrogate models designed for low/medium-dimensional problems. These models face the curse of dimensionality, resulting in decre
Externí odkaz:
http://arxiv.org/abs/2307.01436
Autor:
Vořechovský, Miroslav
Publikováno v:
Computer Methods in Applied Mechanics and Engineering, 401: 115606. 2022
The paper presents a new efficient and robust method for rare event probability estimation for computational models of an engineering product or a process returning categorical information only, for example, either success or failure. For such models
Externí odkaz:
http://arxiv.org/abs/2208.02475
An adaptive sequential sampling method based on ANN_MCD and RF: Application in geotechnical problems
Publikováno v:
In Applied Soft Computing Journal September 2023 144
Publikováno v:
IEEE Access, Vol 9, Pp 164131-164147 (2021)
Multi-objective optimization of aerodynamic configuration for a tandem-wing unmanned aerial vehicle (UAV) via a surrogate model is appropriate in the primary stages of aircraft design. This study presents an adaptive sequential sampling strategy, whi
Externí odkaz:
https://doaj.org/article/9ccb86e9ffad4905a1429f1d307e1957
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 December 2021 386
Publikováno v:
In Applied Mathematical Modelling February 2021 90:375-393
Autor:
Edali, Mert1,2,3,4 medali@yildiz.edu.tr, Yücel, Gönenç1
Publikováno v:
Systems Research & Behavioral Science. Nov2020, Vol. 37 Issue 6, p936-958. 23p.
Autor:
VOŎECHOVSKÝ, MIROSLAV1 vorechovsky.m@vut.cz
Publikováno v:
Acta Polytechnica CTU Proceedings. 2022, Vol. 36, p269-279. 11p.
Autor:
Miroslav Vořechovský
Publikováno v:
Acta Polytechnica CTU Proceedings, Vol 36, Pp 269-279 (2022)
A novel method for estimation of rare event probability is proposed, which works also for computational models returning categorical information only: success or failure. It combines the robustness of simulation methods (counting failure events) with
Externí odkaz:
https://doaj.org/article/eea6257fa2034baeb895b8a3a24544a5