摘要
阐述Q-对称熵定义损失函数及分布族的定义定理以及性质,对原问题的探究加深对此类问题的认识,提高对在Q-对称熵损失函数和Bayes估计的了解,从而取得思维创新的成效。
This paper expounds the definition theorem and properties of Q-symmetric entropy loss function and distribution family, deepens the understanding of such problems by exploring the original problems, and improves the understanding of Q-symmetric entropy loss function and Bayes estimation,so as to achieve the effect of thinking innovation.
作者
余西亚
朱海燕
YU Xiya;ZHU Haiyan(Tongda College of Nanjing University of Posts and Telecommunications,Jiangsu 225100,China)
出处
《电子技术（上海）》
2022年第9期230-231,共2页
Electronic Technology
基金
2020年江苏省高校哲学社会科学项目(2020SJA2390)
南京邮电大学通达学院院级项目(JG00420025)。
关键词
算法分析
单参数指数分布族
Q-对称熵损失函数
BAYES估计
algorithm analysis
single parameter exponential distribution family
Q-symmetric entropy loss function
Bayes estimation
