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: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
1997-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/1997/646081 |
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| _version_ | 1849414099527532544 |
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| author | Roger A. Kemp Calum MacAulay Branko Palcic |
| author_facet | Roger A. Kemp Calum MacAulay Branko Palcic |
| author_sort | Roger A. Kemp |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-6e1c9c90e1cc4d51a746dee78cfb5d1b |
| institution | Kabale University |
| issn | 0921-8912 1878-3651 |
| language | English |
| publishDate | 1997-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-6e1c9c90e1cc4d51a746dee78cfb5d1b2025-08-20T03:33:56ZengWileyAnalytical 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 |
| spellingShingle | Roger A. Kemp Calum MacAulay Branko Palcic Opening the Black Box: the Relationship between Neural Networks and Linear Discriminant Functions Analytical Cellular Pathology |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.1155/1997/646081 |
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