摘要
通过Boltzmann等概率假设,得到熵的另一种表达式,然后根据Shannon(香农)熵把熵作为一个随机事件的不确定性的量度,从而奠定了现代信息论的科学理论基础。
Another kind of expression is obtained by Bohzmann equal probability supposition. Then （Shannon） the entropy is taken as a kind of measurement for uncertainty in random event. Consequently, the modern scientific rationale on information theory has been set up.
出处
《安庆师范学院学报（自然科学版）》
2009年第1期117-118,共2页
Journal of Anqing Teachers College(Natural Science Edition)
关键词
熵
信息
随机事件
概率
entropy, information, random event, probability
