Ten-fold cross validation of Elman neural network (2 hidden layers with 10 and 5 neurons in each layer) run on a dataset with selected features (with 27 features) presenting overall, mesostable, and thermostable prediction accuracies.
收藏Figshare2015-12-02 更新2026-04-29 收录
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https://figshare.com/articles/dataset/_Ten_fold_cross_validation_of_Elman_neural_network_2_hidden_layers_with_10_and_5_neurons_in_each_layer_run_on_a_dataset_with_selected_features_with_27_features_presenting_overall_mesostable_and_thermostable_prediction_accuracies_/417443
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Ten-fold cross validation of Elman neural network (2 hidden layers with 10 and 5 neurons in each layer) run on a dataset with selected features (with 27 features) presenting overall, mesostable, and thermostable prediction accuracies.
创建时间：
2015-12-02
