Results 21 to 30 of about 22,195,649 (288)
Linear and nonlinear time series analysis of the black hole candidate Cygnus X-1 [PDF]
, 1999 We analyze the variability in the X-ray lightcurves of the black hole candidate Cygnus X-1 by linear and nonlinear time series analysis methods. While a linear model describes the over-all second order properties of the observed data well, surrogate data
Belloni, T. +7 more
core +6 more sources
Large-Scale Expensive Optimization with a Switching Strategy
Complex System Modeling and Simulation, 2022 Some optimization problems in scientific research, such as the robustness optimization for the Internet of Things and the neural architecture search, are large-scale in decision space and expensive for objective evaluation.
Mai Sun +4 more
doaj +1 more source
Towards Reusable Surrogate Models: Graph-Based Transfer Learning on Trusses [PDF]
Journal of Mechanical Design, 2021 Surrogate models have several uses in engineering design, including speeding up design optimization, noise reduction, test measurement interpolation, gradient estimation, portability, and protection of intellectual property.
Eamon Whalen, C. Mueller
semanticscholar +1 more source
Buildings, 2022 It is often computationally expensive to monitor structural health using computer models. This time-consuming process can be relieved using surrogate models, which provide cheap-to-evaluate metamodels to replace the original expensive models.
Armin Dadras Eslamlou, Shiping Huang
semanticscholar +1 more source
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge [PDF]
IEEE International Conference on Tools with Artificial Intelligence, 2022 Deep neural networks (DNNs) are vulnerable to adversarial examples. And, the adversarial examples have transferability, which means that an adversarial example for a DNN model can fool another model with a non-trivial probability.
Dingcheng Yang, Zihao Xiao, Wenjian Yu
semanticscholar +1 more source
Surrogate modeling of RF circuit blocks [PDF]
, 2010 Surrogate models are a cost-effective replacement for expensive computer simulations in design space exploration. Literature has already demonstrated the feasibility of accurate surrogate models for single radio frequency (RF) and microwave devices ...
Croon, Jeroen A +3 more
core +1 more source
Pre-training method in the tasks of obtaining surrogate models of gas turbine units for gas turbine electric power stations [PDF]
E3S Web of Conferences, 2023 This article focuses on the application of pre-training methods in the task of synthesizing surrogate models. The article emphasizes that pre-training significantly improves the accuracy of surrogate models and speeds up their creation process.
Kilin Grigory +3 more
doaj +1 more source
npj Computational Materials, 2021 The phase-field method is a powerful and versatile computational approach for modeling the evolution of microstructures and associated properties for a wide variety of physical, chemical, and biological systems.
David Montes de Oca Zapiain +2 more
semanticscholar +1 more source
Versatile surrogate models for IC buffers [PDF]
, 2012 In previous papers [1,2] the authors have investigated the use of Volterra series in the identification of IC buffer macro-models. While the approach benefited from some of the inherent qualities of Volterra series it preserved the two-state paradigm of ...
Canavero, Flavio +5 more
core +3 more sources
Predicting Saltwater Intrusion into Coastal Aquifers Using Support Vector Regression Surrogate Models [PDF]
آب و فاضلاب, 2020 The prediction of the intrusion of saline water into coastal aquifers as a result of changing the amount of groundwater extractions is a prerequisite for managing groundwater.
Fatemeh Fa'al +2 more
doaj +1 more source