福建电脑2024，Vol.40Issue(6)：64-67,4.DOI:10.16707/j.cnki.fjpc.2024.06.011
LSTM在国家间双边关系预测中的应用
Self-Attention LSTMs for Cooperation-Conflict Prediction Methods
练良珏 1胡梅婷 1邹昆1
作者信息
- 1. 南昌航空大学软件学院 南昌 330063
- 折叠
摘要
Abstract
To predict the evolution trend of bilateral relations between countries,this article constructs a prediction model of"cooperation conflict"between countries.The model is based on a long-term and short-term neural network with self attention mechanism,characterized by national event actions.Based on a series of recent events,it predicts the number of conflict and cooperation events in the next time unit and measures them using the Goldstein scale score.The predictive performance of the model was validated through publicly available datasets,and the results showed that the proposed model has good predictive performance and ability to judge national relations.关键词
国家间关系/冲突与合作/预测模型/长短期神经网络Key words
International Relations/Conflict and Cooperation/Prediction Model/LSTM Neural Network分类
信息技术与安全科学引用本文复制引用
练良珏,胡梅婷,邹昆..LSTM在国家间双边关系预测中的应用[J].福建电脑,2024,40(6):64-67,4.
