An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm

Research article (International Journal of Hydrogen Energy, 2021) · cited 39× · AI/ML
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An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm

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An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-optimal-model-identification-for-solid-oxide-fuel-cell-based-on-extreme-learning-machines-optimized-by-improved-red-f
MLA “An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-optimal-model-identification-for-solid-oxide-fuel-cell-based-on-extreme-learning-machines-optimized-by-improved-red-f.
BibTeX @misc{4ortxyz_an-optimal-model-identification-for-solid-oxide-fuel-cell-based-on-extreme-learning-machines-optimized-by-improved-red-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm}}, year = {2026}, url = {https://4ort.xyz/entity/an-optimal-model-identification-for-solid-oxide-fuel-cell-based-on-extreme-learning-machines-optimized-by-improved-red-f}, note = {Accessed: 2026-05-24}}
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