Intermediate data of the accuracy curves on possibility risk, consequence risk and final risk.
收藏科学数据银行2022-10-26 更新2026-04-23 收录
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资源简介：
The data were calculated by the GSS-RiskAseer, we compare our GSS-RiskAsser with the following popular deep-learning models: (1) CNN-based methods. We only apply CNN architecture to process visual information and predict gas supply system risk. The models we compare are ResNet50 and ResNet101. (2) RNN-based methods. In these baselines, we only exploit score matrix by DNN, GRU or LSTM to predict risk value. (3) CNN-RNN fusion methods. We extract multi-modal features by CNN and RNN separately and concatenate them to predict risk.
提供机构：
中国科学院合肥物质科学研究院
创建时间：
2022-10-26
