The Study on Chaotic Identify of Price Index Time Series of Agricultural Products

被引：1
|
作者：
Chao, Sun [3 ]
Jun, Meng [1 ,2 ]
机构：
[1] Northeast Agr Univ, Sch Sci, Appl Math, Harbin, Peoples R China
[2] Natl Soybean Res Ctr NSRC, Sch Sci, Math Appl, Harbin, Peoples R China
[3] Northeast Agr Univ, Sch Econ & Management, Agr Econ & Management, Harbin, Peoples R China
来源：
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL IV, PROCEEDINGS | 2009年
关键词：
agricultural price fluctuations; chaotic time series; chaotic identification;
D O I：
10.1109/ICICTA.2009.798
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Prices of agricultural products are influenced by many factors including the climate, the level of household consumption, consumption structure, the structure of supply and demand of domestic and international stock and futures markets and the circulation system of agricultural products, have a nonlinear dynamic system characteristics and the evolution law, suitable for the application of chaotic time sequence to study the law of price fluctuations and price forecasts. In this paper, we mainly use the chaotic time series theory and methods to study the law of the price fluctuations of agricultural products in China, in theory it can explore new ways for fluctuation research in prices of agricultural products and in practice it can provide a scientific basis for the planning of agricultural production.
引用
收藏
页码：346 / +
页数：2
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