Empirically assessing noisy necessary conditions with activation functions
type: Item
instance of: scholarly article
title: Empirically assessing noisy necessary conditions with activation functions
author: Wolfgang Messner
published in: Computational Management Science
publication date: 2021-06-17T00:00:00Z
Mathematics Subject Classification ID: 90Bxx
zbMATH DE Number: 7360552
zbMATH Keywords: activation function
zbMATH Keywords: large survey data
zbMATH Keywords: measurement error
zbMATH Keywords: necessary conditions
zbMATH Keywords: regression analysis
describes a project that uses: SAS/STAT
describes a project that uses: SAS
MaRDI profile type: Publication
full work available at URL: s10287-020-00377-2
OpenAlex ID: W3087926371
cites work: Q4732025
cites work: Q5580837
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cites work: Approximation by superpositions of a sigmoidal function
cites work: Q3323133
cites work: Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities
cites work: Q2785803
DOI: 10.1007/S10287-020-00377-2
description: scientific article; zbMATH DE number 7360552