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Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells
Research article (Aerospace Science and Technology, 2022) · cited 14× · AI/ML
Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells
Summary
Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells is a scholarly article[1].
Key Facts
Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells. Retrieved May 24, 2026, from https://4ort.xyz/entity/enhanced-rbf-neural-network-metamodelling-approach-assisted-by-sliced-splitting-based-k-fold-cross-validation-and-its-ap
MLA“Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/enhanced-rbf-neural-network-metamodelling-approach-assisted-by-sliced-splitting-based-k-fold-cross-validation-and-its-ap.
BibTeX@misc{4ortxyz_enhanced-rbf-neural-network-metamodelling-approach-assisted-by-sliced-splitting-based-k-fold-cross-validation-and-its-ap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells}}, year = {2026}, url = {https://4ort.xyz/entity/enhanced-rbf-neural-network-metamodelling-approach-assisted-by-sliced-splitting-based-k-fold-cross-validation-and-its-ap}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Enhanced RBF neural network metamodelling approach assisted by sliced splitting-based K-fold cross-validation and its application for the stiffened cylindrical shells — https://4ort.xyz/entity/enhanced-rbf-neural-network-metamodelling-approach-assisted-by-sliced-splitting-based-k-fold-cross-validation-and-its-ap (retrieved 2026-05-24)
