Research Article
A Multimodal Network Security Framework for Healthcare Based on Deep Learning
Algorithm 1
k-fold cross validation used to test the stability.
| (1) | Begin: | | (2) | Break the data into folds. Data capacity per fold is ; | | (3) | Construct model joint-training based on CNN model and GRU model; | | (4) | for each in do | | (5) | validation data = data ; | | (6) | training data = rest of data; | | (7) | train CNN model on the training data, observe it on the validation data; | | (8) | train GRU model on the training data, observe it on the validation data; | | (9) | construct model pretraining based on CNN model and GRU model ; | | (10) | train model pretraining and model joint-training; | | (11) | Model pretraining prediction on the test data; | | (12) | Model joint-training prediction on the test data; | | (13) | end for | | (14) | End |
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