Results 251 to 260 of about 22,195,649 (288)

Statistical Verification of Cyber-Physical Systems using Surrogate Models and Conformal Inference

International Conference on Cyber-Physical Systems, 2022
Uncertainty in safety-critical cyber-physical systems can be modeled using a finite number of parameters or input signals. Given a system specification in Signal Temporal Logic (STL), we would like to verify that for all (infinite) values of the model ...
Xin Qin, Yuan Xian, Aditya Zutshi, Chuchu Fan, Jyotirmoy V. Deshmukh   +4 more
semanticscholar   +1 more source

Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach

Journal of Computing and Information Science in Engineering, 2022
Physics Informed Neural Networks have been recently gaining attention for effectively solving a wide variety of partial differential equations. Unlike the traditional machine learning techniques that require experimental or computational databases for ...
Vivek Oommen, B. Srinivasan
semanticscholar   +1 more source

Active Learning for Well Control Optimization with Surrogate Models

SPE Journal, 2022
Optimization of well controls in waterflooding operations has been established as an effective strategy to increase oil recovery efficiency and to reduce operating costs.
Junjie Yu, B. Jafarpour
semanticscholar   +1 more source

A Review of Data-Driven Surrogate Models for Design Optimization of Electric Motors

IEEE Transactions on Transportation Electrification
Electric motor is one of the core components of electronic propulsion systems and play an essential role in the industry. The optimal design of an electric motor poses a complex nonlinear problem, often challenging traditional methods to strike a balance
Mengyu Cheng, Xing Zhao, M. Dhimish, Wangde Qiu, Shuangxia Niu   +4 more
semanticscholar   +1 more source

Large Language Models as Surrogate Models in Evolutionary Algorithms: A Preliminary Study

Swarm and Evolutionary Computation
Large Language Models (LLMs) have achieved significant progress across various fields and have exhibited strong potential in evolutionary computation, such as generating new solutions and automating algorithm design.
Hao Hao, Xiaoqun Zhang, Aimin Zhou
semanticscholar   +1 more source

OTL-PEM: an optimization-based two-layer pointwise ensemble of surrogate models

Journal of Mechanical Design, 2021
The ensemble of surrogate models is increasingly implemented in practice for its more flexibility and robustness compared to the individual surrogate models.
Yonglin Pang, Yitang Wang, Wei Sun, Xueguan Song   +3 more
semanticscholar   +1 more source

Recent advances and applications of surrogate models for finite element method computations: a review

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2022
J. Kůdela, R. Matousek
semanticscholar   +1 more source

Physics-informed neural networks as surrogate models of hydrodynamic simulators.

Science of the Total Environment, 2023
James Donnelly, Alireza Daneshkhah, S. Abolfathi   +2 more
semanticscholar   +1 more source

Review of machine learning-based surrogate models of groundwater contaminant modeling.

Environmental Research, 2023
Jiannan Luo, Xi Ma, Yefei Ji, Xueli Li, Zhuo Song, Wenxi Lu   +5 more
semanticscholar   +1 more source

Prediction of concrete materials compressive strength using surrogate models

Structures, 2022
Wael Emad, Ahmed Salih Mohammed, Rawaz Kurda, Kawan Ghafor, L. Cavaleri, Shaker M.A.Qaidi, A. Hassan, P. G. Asteris   +7 more
semanticscholar   +1 more source