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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．
This paper introduces a general method to explore chaotic feature numbers in time series, and presents a prediction algorithm based on chaos theory. The daily runoff sequence of Gezhouba and Geheyan reservoirs is used as an example to test this method. The prediction results Satisfactory.