A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems

Research article (International Journal of Machine Learning and Cybernetics, 2020) · cited 18× · AI/ML
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A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems

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A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems is a scholarly article[1].

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  • A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-competitive-swarm-optimizer-with-hybrid-encoding-for-simultaneously-optimizing-the-weights-and-structure-of-extreme-le
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BibTeX @misc{4ortxyz_a-competitive-swarm-optimizer-with-hybrid-encoding-for-simultaneously-optimizing-the-weights-and-structure-of-extreme-le_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A competitive swarm optimizer with hybrid encoding for simultaneously optimizing the weights and structure of Extreme Learning Machines for classification problems}}, year = {2026}, url = {https://4ort.xyz/entity/a-competitive-swarm-optimizer-with-hybrid-encoding-for-simultaneously-optimizing-the-weights-and-structure-of-extreme-le}, note = {Accessed: 2026-05-24}}
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