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Neural Networks for Assessing Relationships that are Typically Nonlinear (90 Patients)

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Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

Abstract

Unlike regression analysis which uses algebraic functions for data fitting, neural networks uses a stepwise method called the steepest decent method for the purpose. To asses whether typically nonlinear relationships can be adequately fit by this method.

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Correspondence to Ton J. Cleophas .

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Cleophas, T.J., Zwinderman, A.H. (2014). Neural Networks for Assessing Relationships that are Typically Nonlinear (90 Patients). In: Machine Learning in Medicine - Cookbook. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04181-0_13

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