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stacked gru model based on  (SoftMax Inc)
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SoftMax Inc stacked gru model based on
Parameters of the stacked <t> GRU </t> network layers.
Stacked Gru Model Based On, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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stacked gru model based on - by Bioz Stars, 2026-07
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Parameters of the stacked GRU network layers.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: Parameters of the stacked GRU network layers.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques: Sequencing, Activation Assay

Parameters of the training options for the proposed RNN Models.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: Parameters of the training options for the proposed RNN Models.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques: Biomarker Discovery

Training and loss curves of the stacked GRU model for shipments prediction.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: Training and loss curves of the stacked GRU model for shipments prediction.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques:

The results of the stacked-GRU model on the validation data in terms of various statistical performance measurements.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: The results of the stacked-GRU model on the validation data in terms of various statistical performance measurements.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques: Biomarker Discovery

ROC of the stacked GRU model using various classifiers on the shipments test data prediction.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: ROC of the stacked GRU model using various classifiers on the shipments test data prediction.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques:

Confusion matrix of the stacked GRU model using various classifiers on the shipments test data prediction.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: Confusion matrix of the stacked GRU model using various classifiers on the shipments test data prediction.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques:

The results of the stacked-GRU model on the test data in terms of various statistical performance measurements.

Journal: Expert Systems with Applications

Article Title: Advanced deep learning approaches to predict supply chain risks under COVID-19 restrictions

doi: 10.1016/j.eswa.2022.118604

Figure Lengend Snippet: The results of the stacked-GRU model on the test data in terms of various statistical performance measurements.

Article Snippet: On the other hand, in it can be seen that the results of the stacked GRU based on KNN showed the highest performance, while the stacked GRU based on ANN and SVM showed the same performance and the stacked GRU based on RT and RF showed the same performance, while the stacked GRU model based on Softmax showed the lowest statistical results performance on the test data. shows the roc curves of the stacked GRU model based on Softmax, RT, RF, KNN, ANN, and SVM classifiers.

Techniques: