Research Article
BUPNN: Manifold Learning Regularizer-Based Blood Usage Prediction Neural Network for Blood Centers
| Input: data: , learning rate: , epochs: , batch size: , , , network: , | | Output: graph embedding: . | (1) | while; ; ++ do | (2) | ⊳ # blood data complementation in equation (1) | (3) | while; ; ++ do | (4) | ⊳ # blood data augmentation in equation (3) | (5) | ; ⊳ # map input data into space in equation (4) | (6) | ; ⊳ # map input data into space in equation (4) | (7) | ; ; ⊳ #calculate distance in and | (8) | ; ; ⊳ #calculate similarity in and in equation (5) | (9) | ; ⊳ # calculate loss function in equation (10). | (10) | , ; ⊳ # update parameters. | (11) | end while | (12) | end while | (13) | ; ⊳ # calculate the embedding result. |
|