Results 91 to 100 of about 461,664 (195)

A machine learning-based comparative analysis of surrogate models for design optimisation in computational fluid dynamics. [PDF]

Heliyon, 2023
Mukhtar A, Yasir ASHM, Nasir MFM.
europepmc   +1 more source

Smart Thermostat Development and Validation on an Environmental Chamber Using Surrogate Modelling

Energies
The significant contribution of buildings to the global primary energy consumption necessitates the application of energy management methodologies at a building scale.
Leonidas Zouloumis, Nikolaos Ploskas, Nikolaos Taousanidis, Giorgos Panaras   +3 more
doaj   +1 more source

Multi-Objective Optimization of Thin-Walled Composite Axisymmetric Structures Using Neural Surrogate Models and Genetic Algorithms. [PDF]

Materials (Basel), 2023
Miller B, Ziemiański L.
europepmc   +1 more source

Continuous-Time Surrogate Models for Data-Driven Dynamic Optimization. [PDF]

ESCAPE, 2022
Beykal B, Diangelakis NA, Pistikopoulos EN.   +2 more
europepmc   +1 more source

Groundwater Pollution Source Identification via an Integrated Surrogate Model and Multiobjective Heuristic Optimization Algorithms

Water Resources Research
Simulation‐optimization methods are commonly used in groundwater pollution source identification. Traditional simulation‐optimization methods require multiple calls to the numerical model, which leads to a considerable computational burden.
Shengjie Hu, Zuorong Xu, Rui Zuo, Jingchao Liu   +3 more
doaj   +1 more source

Physics-Based AI-Driven Surrogate Modeling for Structural Displacement Prediction in Mechanical Systems With Limited Sensor Data

IEEE Access
This study introduces a machine learning (ML)-based surrogate model for finite element analysis, designed to predict structural strain distributions using a minimal number of strategically placed virtual sensors.
Ali Hashemi, Javad Beheshti, Mahdieh Mohammadi   +2 more
doaj   +1 more source

Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models. [PDF]

IEEE Trans Biomed Eng, 2022
Karabelas E, Longobardi S, Fuchsberger J, Razeghi O, Rodero C, Strocchi M, Rajani R, Haase G, Plank G, Niederer S.   +9 more
europepmc   +1 more source

Neural architecture search using network embedding and generative adversarial networks

Scientific Reports
Surrogate models are used by recently proposed algorithms as a means of forecasting neural architecture performance. Rather than training the network from scratch, which speeds up evaluation of performance in the search for neural architecture.
Morteza Yousefi, Vahid Mehrdad, Mohammad Bagher Dowlatshahi   +2 more
doaj   +1 more source

Uncertainty propagation in pore water chemical composition calculation using surrogate models. [PDF]

Sci Rep, 2022
Sochala P, Chiaberge C, Claret F, Tournassat C.   +3 more
europepmc   +1 more source

Research on Surrogate Model of Dam Structural Behavior for Multi‐Output Problem

Engineering Reports
The establishment efficiency of the surrogate model is often affected by the multi‐output problem during the establishment process. It is an urgent issue to solve how to establish a multi‐output joint surrogate model more quickly while ensuring a certain
Yuan Qiao, Liang Jiaming, Li Zhanchao, Ebrahim Yahya Khailah   +3 more
doaj   +1 more source