Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies

Research article (Earth Planets and Space, 2017) · cited 40× · AI/ML
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Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies

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Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies. Retrieved May 24, 2026, from https://4ort.xyz/entity/deriving-amplification-factors-from-simple-site-parameters-using-generalized-regression-neural-networks-implications-for
MLA “Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deriving-amplification-factors-from-simple-site-parameters-using-generalized-regression-neural-networks-implications-for.
BibTeX @misc{4ortxyz_deriving-amplification-factors-from-simple-site-parameters-using-generalized-regression-neural-networks-implications-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deriving amplification factors from simple site parameters using generalized regression neural networks: implications for relevant site proxies}}, year = {2026}, url = {https://4ort.xyz/entity/deriving-amplification-factors-from-simple-site-parameters-using-generalized-regression-neural-networks-implications-for}, note = {Accessed: 2026-05-24}}
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