Author: Saban Ozturk; Umut Ozkaya; Mucahid Barstugan
Title: Classification of Coronavirus Images using Shrunken Features Document date: 2020_4_6
ID: 2l1zw19o_33
Snippet: where hl is the output, wl represents weights, xn is nth feature vector, f is an activation function, and bl represents bias parameter. f(x)=1/(1+e -x ) is used as activation function. The proposed sAE method produces feature vectors consisting of 50 feature features and 50 feature features. The sAE part of our framework is shown in Figure 5 . Output of sAE architecture Figure 5 . The sAE part of the proposed framework . CC-BY-NC-ND 4.0 Internati.....
Document: where hl is the output, wl represents weights, xn is nth feature vector, f is an activation function, and bl represents bias parameter. f(x)=1/(1+e -x ) is used as activation function. The proposed sAE method produces feature vectors consisting of 50 feature features and 50 feature features. The sAE part of our framework is shown in Figure 5 . Output of sAE architecture Figure 5 . The sAE part of the proposed framework . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.
Search related documents:
Co phrase search for related documents- activation function and feature vector: 1
- activation function and International license: 1
- bias parameter and International license: 1, 2
- cc NC ND International license and feature feature: 1
- cc NC ND International license and International license: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- feature feature and International license: 1, 2
- feature feature and propose framework: 1, 2, 3, 4
- feature vector and sae output: 1
Co phrase search for related documents, hyperlinks ordered by date