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...
Saved in:
| Main Authors: | Roger A. Kemp, Calum MacAulay, Branko Palcic |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
1997-01-01
|
| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/1997/646081 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optical Computed-Tomographic Microscope for Three-Dimensional Quantitative Histology
by: Ravil Chamgoulov, et al.
Published: (2004-01-01) -
DNA-Cytometry of Progressive and Regressive Cervical Intraepithelial Neoplasia
by: Antonius G. J. M. Hanselaar, et al.
Published: (1998-01-01) -
Black box analysis with linear regression on global warming
by: Yoshiyasu Takefuji
Published: (2024-12-01) -
Opening the Black Box of the Radiation Belt Machine Learning Model
by: Donglai Ma, et al.
Published: (2023-04-01) -
Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code
by: Eric J. Michaud, et al.
Published: (2024-12-01)