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Iterative minimal residual method provides optimal regularization parameter for extreme learning machines

Research article (Results in Physics, 2019) · cited 10× · AI/ML
academia openalex:W2921943839
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Iterative minimal residual method provides optimal regularization parameter for extreme learning machines

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Iterative minimal residual method provides optimal regularization parameter for extreme learning machines is a scholarly article[1].

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  • Iterative minimal residual method provides optimal regularization parameter for extreme learning machines's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Iterative minimal residual method provides optimal regularization parameter for extreme learning machines. Retrieved May 24, 2026, from https://4ort.xyz/entity/iterative-minimal-residual-method-provides-optimal-regularization-parameter-for-extreme-learning-machines
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BibTeX @misc{4ortxyz_iterative-minimal-residual-method-provides-optimal-regularization-parameter-for-extreme-learning-machines_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Iterative minimal residual method provides optimal regularization parameter for extreme learning machines}}, year = {2026}, url = {https://4ort.xyz/entity/iterative-minimal-residual-method-provides-optimal-regularization-parameter-for-extreme-learning-machines}, note = {Accessed: 2026-05-24}}
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