Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering

Research article (International Journal of Approximate Reasoning, 2019) · cited 25× · AI/ML
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Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering

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Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering. Retrieved May 24, 2026, from https://4ort.xyz/entity/design-methodology-for-radial-basis-function-neural-networks-classifier-based-on-locally-linear-reconstruction-and-condi
MLA “Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/design-methodology-for-radial-basis-function-neural-networks-classifier-based-on-locally-linear-reconstruction-and-condi.
BibTeX @misc{4ortxyz_design-methodology-for-radial-basis-function-neural-networks-classifier-based-on-locally-linear-reconstruction-and-condi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering}}, year = {2026}, url = {https://4ort.xyz/entity/design-methodology-for-radial-basis-function-neural-networks-classifier-based-on-locally-linear-reconstruction-and-condi}, note = {Accessed: 2026-05-24}}
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