An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting

Research article (Soft Computing, 2020) · cited 29× · AI/ML
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An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting

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An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-online-sequential-extreme-learning-machine-model-based-on-feature-selection-and-parameter-optimization-usin
MLA “An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-online-sequential-extreme-learning-machine-model-based-on-feature-selection-and-parameter-optimization-usin.
BibTeX @misc{4ortxyz_an-efficient-online-sequential-extreme-learning-machine-model-based-on-feature-selection-and-parameter-optimization-usin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient online sequential extreme learning machine model based on feature selection and parameter optimization using cuckoo search algorithm for multi-step wind speed forecasting}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-online-sequential-extreme-learning-machine-model-based-on-feature-selection-and-parameter-optimization-usin}, note = {Accessed: 2026-05-24}}
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