Determining the saliency of input variables in neural network classifiers
type: Item
instance of: scholarly article
title: Determining the saliency of input variables in neural network classifiers
zbMATH Open document ID: 0894.90094
DOI: 10.1016/S0305-0548(96)00088-3
author: Ravinder Nath
author: Randy Ryker
author: Balaji Rajagopalan
published in: Computers \& Operations Research
publication date: 1997-10-26T00:00:00Z
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 1079009
zbMATH Keywords: connection weights
zbMATH Keywords: neural network
zbMATH Keywords: Monte Carlo simulation
zbMATH Keywords: Fisher's linear classification analysis
MaRDI profile type: Publication
cites work: Q5587653
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full work available at URL: s0305-0548(96)00088-3
OpenAlex ID: W1979205294
description: scientific article; zbMATH DE number 1079009