Extracting model parameters from experimental data using the minimum information principle

被引：0
|
作者：
Chizhov, AV [1 ]
机构：
[1] Russian Acad Sci, AF Ioffe Physicotech Inst, St Petersburg 194021, Russia
来源：
TECHNICAL PHYSICS | 2000年 / 45卷 / 04期
关键词：
Experimental Data; Physical Process; Diffusion Equation; Logistic Mapping; Minimum Information;
D O I：
10.1134/1.1259667
中图分类号：
O59 [应用物理学];
学科分类号：
摘要：
A method is described for extracting model parameters of a physical process from statistical experimental data based on the minimum information principle. Potentialities of the method are studied by examples of regular and chaotic processes simulated by the transport and diffusion equation and by the logistic mapping. (C) 2000 MAIK "Nauka/ Interperiodica".
引用
收藏
页码：512 / 514
页数：3
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