An Incident Identification Method Based on Improved RCNN

摘要

An emergency is a sudden and harmful event. It is of great significance to quickly identify the event and reduce the harm caused by the event. In this paper, the current advanced recurrent convolutional neural networks (RCNN) are utilized, but the traditional model cannot effectively identify the event, and the accuracy rate is not good enough. In order to solve this problem, the recurrent neural network and activation function part of the traditional model are improved, and through experimental comparison, the optimal model in the training model is selected. Finally, the accuracy of the model is 90%, the recall rate is 92.55%, and the Fl value, a metric that combines accuracy and recall, is 91.26%, which proves that the improved model has good effects.