检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:舒干[1] 黄伯棠[1] 朱源年 张传立[1] 李知堂
出 处:《灾害学》1996年第4期16-20,共5页Journal of Catastrophology
摘 要:尝试用时间序列分析中的自适应滤波法对江河灾害性洪水进行预测,认为加权因子个数和自适应常数的确定是关键。以荆江沙市站1950~1995年的年最高水位资料为研究对象,借助计算机编程与计算,确定了最优加权因子个数和自适应常数,建立了适合于该站未来年最高水位的预测模型。预测结果与误差分析表明,自适应滤波法用于江河洪水预测是可行的。Adaptive filtering in time series analysis is used to predict a stream flood. The key in this process is determination of the adaptive constants and the number o f weighted factors. Taking the highest water levels of the Jingjiang River in Shashi station from 1950 to 1995 as an example, the number of weighted factors and adaptive constants are obtained by programming and calculation and a model suitable to the prediction of the highest water levels in station is developed. The predictive results and error analysis show that the method is feasible for stream flood prediction.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.3