作 者: ;
机构地区: 深圳大学理学院数学系
出 处: 《深圳大学学报(理工版)》 1998年第4期8-12,共5页
摘 要: 研究观测过程中的信息嫡变化.首先对新定义的非标准数进行了进一步的说明,借助广义均匀分布的概念及新定义的非标准数,用概率密度函数统一描述所有概率分布,并给出统一的信息熵的定义.利用信息论知识详细描述了在观测过程中观测主体的知识函数的墙减现象,说明为什么当观测主体对观测客体一无所知时,其知识函数为广义均匀分布. The information entropy change in Observation Process is researched in the presented paper. With the nonstandard number defined by the author and super real set,all probability distribution are described using probability density function, and the universal definition of information entropy is given. The phenomenon of entropy decrease of subject in observation process is analyzed with the help of information theory knowledge. It is explained that the knowledge function of subject obey generalized uniform distribution when it knows nothing about object.