Surrogate modeling assistant software

Computer modeling is designed to predict the behavior of complex systems by solving the corresponding mathematical equations of the physical process. The simulation requires a huge number of parameters to be found, and they all require a large number of simulation runs, where each run takes a different combination of design parameters as input. Computer simulations tend to be expensive. Research that requires a large number of computer calculations will lead to exorbitant computational costs, which will make them practically impracticable. This is what surrogate modeling is for. Surrogate modeling builds a statistical model to accurately approximate the simulation result. Subsequently, this trained model can replace the original computer simulation when performing system analysis. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

Conference proceedings
Publisher
CEUR-WS
Language
English
Pages
85-91
Status
Published
Volume
2946
Year
2021
Organizations
  • 1 Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
  • 2 Plekhanov Russian University of Economics, 36 Stremyanny lane, Moscow, 117997, Russian Federation
  • 3 Joint Institute for Nuclear Research, Laboratory of Information Technologies, 6 Joliot-Curie St., Dubna, Moscow region, 141980, Russian Federation
Keywords
Julia language; Python language; Surrogate modeling
Date of creation
16.12.2021
Date of change
16.12.2021
Short link
https://repository.rudn.ru/en/records/article/record/76206/
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