The verification method of nuclear power plant power dispatching operation ticket based on manual experience has some problems,such as strong subjectivity,low efficiency and low reliability.To solve these problems,an automatic verification method of operation ticket based on Convolutional Neural Network(CNN)and Bidirectional Long Short Term Memory(BiLSTM)was proposed.Based on vectorization of the operation ticket text,this method used the CNN-BiLSTM model to realize the automation of deep information mining and verification of operation ticket text.The experimental results show that compared with the single model,the CNN-BiLSTM model has higher calibration accuracy,and the comprehensive index of calibration evaluation can reach 95.67％,which has certain advantages.
关键词
卷积神经网络/操作票/自动校验/双向长短时记忆网络
Key words
Convolutional Neural Network/operation ticket/automatic verification/bidirectional long short term memory
维普
万方数据