摘要
介绍了探求时间序列中的混沌特征数的常规方法，给出一种基于混沌理论的预测算法，并以葛洲坝、隔河岩水库的入库日径流序列为例检验了这一方法，其预测效果令人满意．
There are some ways to search chaos dynamics in a time series. Based on chaos theory, a prediction model is constructed. The daily discharge series of reservoir Gezhouba and Geheyan are used to test the idea. The results are satisfactory.
出处
《华中理工大学学报》
CSCD
北大核心
1998年第12期62-64,共3页
Journal of Huazhong University of Science and Technology
关键词
混沌动力系统
日径流时间序列
径流
预测
河流
chaos dynamic system
daily runoff time series
Lyapunov exponent
correlation dimension
