Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions

Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions

Over the last ten years feed‐forward neural networks have become a popular tool for statistical decision making. During this time, they have been applied in many fields, including cytological classification. Neural networks are often treated as a black box, whose inner workings are concealed from th...

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Main Authors: Roger A. Kemp, Calum MacAulay, Branko Palcic
Format: Article
Language:English
Published: Hindawi Limited 1997-01-01
Series:Analytical Cellular Pathology
Online Access:http://dx.doi.org/10.1155/1997/646081
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spelling doaj-6e1c9c90e1cc4d51a746dee78cfb5d1b2020-11-24T22:04:50ZengHindawi LimitedAnalytical Cellular Pathology0921-89121878-36511997-01-01141193010.1155/1997/646081Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant FunctionsRoger A. Kemp0Calum MacAulay1Branko Palcic2BC Cancer Research Centre, Vancouver BC, V5Z 1L3, CanadaBC Cancer Research Centre, Vancouver BC, V5Z 1L3, CanadaBC Cancer Research Centre, Vancouver BC, V5Z 1L3, CanadaOver the last ten years feed‐forward neural networks have become a popular tool for statistical decision making. During this time, they have been applied in many fields, including cytological classification. Neural networks are often treated as a black box, whose inner workings are concealed from the researcher. This is unfortunate, since the inner workings of a neural network can be understood in a manner similar to that of a linear discriminant function, which is the standard tool that researchers use for decision making.http://dx.doi.org/10.1155/1997/646081
collection DOAJ
language English
format Article
sources DOAJ
author Roger A. Kemp
Calum MacAulay
Branko Palcic
spellingShingle Roger A. Kemp
Calum MacAulay
Branko Palcic
Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions
Analytical Cellular Pathology
author_facet Roger A. Kemp
Calum MacAulay
Branko Palcic
author_sort Roger A. Kemp
title Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions
title_short Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions
title_full Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions
title_fullStr Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions
title_full_unstemmed Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions
title_sort opening the black box: the relationship between neural networks and linear discriminant functions
publisher Hindawi Limited
series Analytical Cellular Pathology
issn 0921-8912
1878-3651
publishDate 1997-01-01
description Over the last ten years feed‐forward neural networks have become a popular tool for statistical decision making. During this time, they have been applied in many fields, including cytological classification. Neural networks are often treated as a black box, whose inner workings are concealed from the researcher. This is unfortunate, since the inner workings of a neural network can be understood in a manner similar to that of a linear discriminant function, which is the standard tool that researchers use for decision making.
url http://dx.doi.org/10.1155/1997/646081
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AT calummacaulay openingtheblackboxtherelationshipbetweenneuralnetworksandlineardiscriminantfunctions
AT brankopalcic openingtheblackboxtherelationshipbetweenneuralnetworksandlineardiscriminantfunctions
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