Subjects: Computer Science >> Other Disciplines of Computer Science submitted time 2024-01-10
Abstract: With the development of science and technology, EEG signals are utilized in more and more fields because of their rich physiological, psychological and pathological contents. After relevant experiments on the dataset of EEG signals, it is shown that the discrimination of Alzheimer's disease based on the LSTM model realized in this project achieves better results, with an average accuracy of about 93%.
Peer Review Status:Awaiting Review
Subjects: Computer Science >> Natural Language Understanding and Machine Translation submitted time 2024-01-07
Abstract: During the literature review process, we focused on the work related to named entity recognition of the LSTM model, which has a wide range of applications in the field of named entity recognition. The English NER field has developed rapidly. As the project goal is to achieve Chinese named entity recognition, we discovered the gradual application of LSTM in the development of Chinese NER. LSTM is a variant of RNN, and its core concepts are cell state and "gate" structure.
Peer Review Status:Awaiting Review