摘要
为了更准确地研究不同参数对足球比赛评分系统的影响,在BP神经网络理论和Kriging算法基础上,通过对算法的改进来预测足球比赛的赛后评分,以减少人类劳动。在使用两种方法进行预测时,通过最后数据分析两种方法的优劣。
In order to more accurately study the influence of different parameters on the football match scoring system,based on the BP neural network theory and Kriging algorithm,the algorithm is improved to predict the post-match score of the football match to reduce human labor.When using two methods to make predictions,the pros and cons of the two methods is analyzed through the final data.
作者
杨子煜
YANG Zi-yu(School of Astronautics,Northwestern Polytechnical University,Xi'an 710072,China)
出处
《价值工程》
2020年第25期209-211,共3页
Value Engineering