Sports match prediction model for training and exercise using attention-based LSTM network

• DOI: 10.1016/j.dcan.2021.08.008
• Publication Date: 2021-08-30T05:46:49Z
• Authors: Qiyun Zhang; Xuyun Zhang; Hongsheng Hu; Caizhong Li; Yinping Lin; Rui Ma
• Keywords: Sliding window protocol

Sports matches are very popular all over the world. The prediction of a sports match is helpful to grasp team's state in time and adjust strategy process match. It's challenging effort predict Therefore, method proposed result next by using teams' historical data. We combined Long Short-Term Memory (LSTM) model with attention mechanism put forward an AS-LSTM for predicting results. Furthermore, ensure timeliness prediction, we add sliding window make have better timeliness. Taking football as example, carried out case study feasibility this method.