Ada2MF: Dual-adaptive multi-fidelity neural network approach and its application in wind turbine wake prediction-Reference-Cited by-同舟云学术

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Ada2MF: Dual-adaptive multi-fidelity neural network approach and its application in wind turbine wake prediction

Published:2024-11 Issue: Volume:137 Page:109061
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Zhan Lingyu,Wang Zhenfan,Chen Yaoran^ORCID,Kuang Limin^ORCID,Tu Yu,Zhou Dai^ORCID,Han Zhaolong,Zhang Kai

Publisher

Elsevier BV

Reference74 articles.

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2. Kernels for vector-valued functions: A review;Alvarez;Found. Trends Mach. Learn.,2012

3. WakeNet 0.1-A simple three-dimensional wake model based on convolutional neural networks;Asmuth,2022

4. General multi-fidelity framework for training artificial neural networks with computational models;Aydin;Front. Mater.,2019

5. A new analytical model for wind-turbine wakes;Bastankhah;Renew. Energy,2014

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