| 递归相似 |
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| 引用本文： | 刘桂馥.递归相似[J].大气科学学报,1995,18(2):166-171. |
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| 作者姓名： | 刘桂馥 |
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| 作者单位： | 南京气象学院基础科学系, 南京, 120044 |
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| 摘 要： | 为观测研究提出一种动力学模型。新模型将不依赖统计概念,也不依赖对象的任何先验的理论模型,因此它具有极大的一般性。递归相似是核心概念,由此产生邻域函数、跃度和演化相似等概念和可计算的指标,它们描述了观测序列的演化性态。从观测序列(向量的或函数的)重建动力系统是我们的总体工作,本文是这项工作中的独立部分。
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| 关 键 词： | 递归相似 动力系统 活动标架 |
| 收稿时间： | 1994/6/11 0:00:00 |
| 修稿时间： | 1994/12/13 0:00:00 |
RECURSIVE SIMILARITY |
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| Liu Guifu.RECURSIVE SIMILARITY[J].大气科学学报,1995,18(2):166-171. |
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| Authors: | Liu Guifu |
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| Institution: | Department of Basic Courses, NIM, 210044, Nanjing, PRC |
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| Abstract: | This paper is devoted to a dynamic model for observational study,which does not depend on statistical concept nor on any a priori theoretical model of the object.Consequently,it pocesses great generality.Recursive similarity is the central concept of the research,resulting from which are neighborhood function,jumping,evolution similarity and calculable index,responsible for describing the evolution properties of the observational sequence.As a target,the reconstruction of a dynamic system based onan observational(vectorial or functional)series and the article is only part of the research towards the goal. |
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| Keywords: | recursive similarity dynamic system activity frame |
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