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Details van artikel 9 van 11 gevonden artikelen
| Titel: |
Opening the black box: the relationship between neural networks and linear discriminant functions |
| Auteur: |
Roger A. Kemp Calum MacAulay Branko Palcic |
| Verschenen in: |
Analytical cellular pathology |
| Paginering: | Jaargang 14 (2001) nr. 1 pagina's 19-30 |
| Jaar: |
2001-04-01 |
| Inhoud: |
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. This paper discusses feed-forward neural networks and some methods to improve their performance for classification problems. Their relationship to discriminant functions will be examined for a simple two-dimensional classification problem. |
| Uitgever: |
IOS Press |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 9 van 11 gevonden artikelen
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