A Data Feature Recognition Method Based On Deep Learning
Jintao Wang, Guangquan Feng, Long Zhao, Lirun Zhang, Fei Xie · 2020
Aimed at the problems of traditional data feature recognition schemes such as feature extraction difficulties, poor classification and recognition effects, and high sensitivity, a data feature recognition scheme based on deep learning is proposed to realize feature extraction and classification of the data information automatically. By analyzing the characteristics of the data and the problems of the deep neural network, the attention mechanism is introduced in the convolutional neural network to extract more important networks, and the long and short-term memory network is improved, reducing the complexity of the model, and avoiding the problem of information loss caused by long sequences.