摘要
应用1964~1995年东川市人均粮食资料,重构其嵌入相空间序列,探讨了其时序的分形特征,并计算了其平均可预报年限.结果表明,东川市人均粮食的时序分布具有分形特征,且该时序是一混沌序列,其饱和关联维数约为3.1631,系统的有效自由度数为8个,平均可预报尺度不超过27~28年.研究结果为人均粮食的时序预测预报模型提供了依据.
Based on the statistical data of grain per capita in Dongchuan city from 1964 to 1995,the time-series imbedding space is rebuilt, the time-series fractal characteristics are investigated, and the average predictable years is calculated. The results show that the temporal distribution of grain per capita in Dongchuan city has fractal characteristics; this time-series is a chaotic series; its saturated correlative dimension is 3.1631; the effective degree of freedom (DOF) is 8;and the average predictable years is no more than 27 to 28 years. The obtained conclusions provide a scientific basis for establishing the forecast model of grain per capita. It is a probing study on the application of fractal theory to time-series of grain per capita and its prospect needs more cases to test.
出处
《华中师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2004年第1期117-120,共4页
Journal of Central China Normal University:Natural Sciences
基金
国家重大基金项目(50099620)
中国科学院山地灾害与环境研究所青年种子基金项目(C3200321)资助.
关键词
关联维数
东川市
人均粮食
时序分形
correlative dimension
Dongchuan city
grain per capita
fractal time-series