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- W774366283 abstract "There are different methods for quantifying the relative contribution of input-variables to the nonlinear regression function provided by a Multilayer Perceptron. Unfortunately most of the systematic method comparisons available to date suffer from a set of characteristic shortcomings. This paper elaborates on these methodological shortcomings and presents a simulation study that demonstrates how to avoid them in future method comparisons. Results of the simulation study indicate that Garson's weight method is preferable to the connection weight method proposed by Olden et al., (2004) for each of the samples simulated." @default.
- W774366283 created "2016-06-24" @default.
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- W774366283 date "2015-08-01" @default.
- W774366283 modified "2023-10-18" @default.
- W774366283 title "How to determine the unique contributions of input-variables to the nonlinear regression function of a multilayer perceptron" @default.
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- W774366283 doi "https://doi.org/10.1016/j.ecolmodel.2015.04.015" @default.
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