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正态分布参量的广义自相关性
General Self-correlation of Normal Distributing Parameter
【摘要】 在随机系统中,许多参数都服从正态分布。文章在泛逻辑N范数和广义自相关性概念的基础上,研究了正态分布参量的广义自相关性,给出了正态分布参量的N范数、N性生成元,建立了分布函数F(x)与广义自相关性系数k之间的重要关系式,通过实例说明了k值的求解过程,这有助于加速泛逻辑在不确定性推理中的应用。
【Abstract】 In sochastic system,many parameters obey normal distribution. Based on the conceptions of universal logic N-norm and general self-correlation, this paper studies the general self-correlation of normal distributing parameter, gives N-norm and N-generator of normal distributing parameter,establishes the important relational expression between distributing function and geneeral self-correlation coefficient k,and expatiates the processes for calculating the value of k by example. The work can contribute to the application of universal logic on the uncertain reasoninig.
【Key words】 Universal logic; General self-correlation coefficient; Random parameter; Distributing function; N-norm;
- 【文献出处】 计算机科学 ,Computer Science , 编辑部邮箱 ,2004年11期
- 【分类号】TP18
- 【被引频次】2
- 【下载频次】53