Results 11 to 20 of about 14,186,820 (252)

s3593810/ML-Based-Surrogate-High-Resolution-LUTO-Model-V2: LUTO High-Resolution Surrogate Model

open access: yes, 2023
High-Resolution Suggogate Model based on LUTO V1.0 Name: Scenario and ANO Data Combined.csv Description: Scenarios Settings for 24624 Scenarios Name: SampleScenarioData.csv Description: Sample Data for 1 Scenario at a cell level (presented as 812 ...
Md Shakil Khan
core   +3 more sources

Evaluating cascade correlation neural networks for surrogate modelling needs and enhancing the Nimrod/O toolkit for multi-objective optimisation [PDF]

open access: yes, 2011
Engineering design often requires the optimisation of multiple objectives, and becomes significantly more difficult and time consuming when the response surfaces are multimodal, rather than unimodal.
Riley, Mike J. W.
core   +7 more sources

Surrogate-based optimization method with adaptive sampling

open access: yes, 2018
In a typical engineering design workflow, optimization is a highly iterative process, requiring several evaluations of the performance of the item that is being designed. The main goal of the design workflow is to create a cost-effective solution that is
Aldo Rona (7583084)   +1 more
core   +6 more sources

Surrogate-Model-Based Sequential Algorithm for Weather-Dependent Probabilistic Power Flow With High Calculation Efficiency

open access: yes, 2023
 Recently, a novel power flow model called weather dependent power flow (WDPF) has been proposed to incorporate conductor temperatures in power flow calculation.
Junjie Tang (16876802)   +5 more
core   +1 more source

Recent advances in surrogate-based optimization [PDF]

open access: yes, 2009
The evaluation of aerospace designs is synonymous with the use of long running computationally intensive simulations. This fuels the desire to harness the efficiency of surrogate-based methods in aerospace design optimization.
Alexander I.J. Forrester   +3 more
core   +1 more source

Building energy optimization using surrogate model and active sampling [PDF]

open access: yes, 2020
In order to improve the performance of a surrogate model-based optimization method for building optimization problems, a new active sampling strategy employing a committee of surrogate models is developed.
Cholette, Michael E   +4 more
core   +1 more source

A consistent computational fluid dynamics surrogate model for wind turbine interaction including atmospheric stability [PDF]

open access: yesWind Energy Science
Wind turbine wake and blockage effects can reduce the energy yield in wind farms, and fast models are required to mitigate these effects by wind farm layout optimization.
M. P. van der Laan   +2 more
doaj   +1 more source

Optimization of water exchange based on RBF surrogate model and particle swarm optimization

open access: yesShuili Shuiyun Gongcheng Xuebao, 2020
Good water exchange is very essential, not only for improving the water environment, but also for enhancing the landscape effect around the water. The diversion replacement method is significant for promoting water exchange.
QI Lan, ZHENG Shihao, ZHANG Conglin
doaj   +1 more source

Multiscale topology optimisation with nonparametric microstructures using three-dimensional convolutional neural network (3D-CNN) models

open access: yesVirtual and Physical Prototyping, 2021
Additive manufacturing enables the fabrication of parts with complex geometries, thereby opening up the design space from part scale to microarchitecture scale.
Guo Yilin   +2 more
doaj   +1 more source

A general approach to risk modeling using partial surrogate markers with application to perioperative acute kidney injury

open access: yesDiagnostic and Prognostic Research, 2017
Background Surrogate outcomes are often utilized when disease outcomes are difficult to directly measure. When a biological threshold effect exists, surrogate outcomes may only represent disease in specific subpopulations.
Derek K. Smith   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy