Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets

Research article (2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2017) · cited 10× · AI/ML
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Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets

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Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-extreme-learning-fuzzy-systems-using-ridge-regression-for-small-and-noisy-datasets
MLA “Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-extreme-learning-fuzzy-systems-using-ridge-regression-for-small-and-noisy-datasets.
BibTeX @misc{4ortxyz_robust-extreme-learning-fuzzy-systems-using-ridge-regression-for-small-and-noisy-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust extreme learning fuzzy systems using ridge regression for small and noisy datasets}}, year = {2026}, url = {https://4ort.xyz/entity/robust-extreme-learning-fuzzy-systems-using-ridge-regression-for-small-and-noisy-datasets}, note = {Accessed: 2026-05-24}}
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