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A power density output prediction method for solid oxide ... | ResearchHub
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A power density output prediction method for solid oxide fuel cells based on a radial basis function neural network model with a gaussian function variable radius drosophila optimization algorithm
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Authors
Kenneth Li
5 more
Kenneth Li
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Juan Mei
3 more
•
Xiaolong Wu
Published
June 7, 2024
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Topics
Biology
Artificial Intelligence
Computer Science
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DOI
10.1109/yac63405.2024.10598724