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Earth, Planets and Space
Fig. 11 | Earth, Planets and Space

Fig. 11

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

Fig. 11

Variation in root-mean-square error, standard deviation of residuals \(\varepsilon_{\text{GRNN}} \left( {\theta ,\nu_{i} } \right),\) for various GRNN models involving various sets of input parameters (indicated with different colors) compared to the initial variability \(\sigma_{0} \left( {\theta ,\nu_{i} } \right)\) for RP–NF (a, top), NP–NF (b, middle) and TP–NF (c, bottom). Data are displayed as a function of normalized frequency \(\nu = f/f_{0}\)

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