Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network-Reference-Cited by-同舟云学术

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network

Published:2023-08 Issue: Volume:123 Page:106354
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhang Yunyang,Gong Zhiqiang,Zhou Weien,Zhao Xiaoyu,Zheng Xiaohu,Yao Wen

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference44 articles.

1. Optimization of thermal design of heat sinks: A review;Ahmed;Int. J. Heat Mass Transfer,2018

2. Heat source layout optimization for two-dimensional heat conduction using iterative reweighted L1-norm convex minimization;Aslan;Int. J. Heat Mass Transfer,2018

3. Approximation of probability density functions by the multilevel Monte Carlo maximum entropy method;Bierig;J. Comput. Phys.,2016

4. Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): a comparative assessment of the efficacy of evidential belief functions and fuzzy logic models;Bui;Catena,2012

5. Cacciola, M., Pellicanò, D., Megali, G., Lay-Ekuakille, A., Versaci, M., Morabito, F., 2013. Aspects about air pollution prediction on urban environment. In: Proceedings of the 4th IMEKO TC19 Symposium on Environmental Instrumentation and Measurements. pp. 15–20.

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