|
|
Prediction for the precipitation using a weighted Markov model |
Zhang Xiang1, Chen Jun2, Lu Yu1, Pan Dong1, Li Jun1 |
1.No.94995 Unit,Rugao 226500; 2.No.95631 Unit,Luzhou 646000 |
|
|
Abstract The precipitation is periodic and unpredictable.In order to solve this problem,this paper puts forward a weighted Markov model.The monthly precipitation is predicted.The historical data are classified,and four-step state transition probability matrix is established.The forecast results conform well to the actual data.
|
Received: 10 October 2017
|
|
|
|
|
[1] |
张沛超,胡炎,侯伟宏.IEC61850全数字化保护系统的分层马尔科夫模型[J].电力自动化设备,2010,30(02):28-32.
|
[2] |
孟苓辉,刘志刚,刁利军,等.基于Markov模型的高速列车牵引传动系统可靠性评估[J].铁道学报,2016,38(08):23-27.
|
[3] |
高昆,刘莹,王丽静,等.基于高斯马尔科夫模型的高光谱异常目标检测算法研究[J].光谱学与光谱分析,2015,35(10):2846-2850.
|
[4] |
刘玉磊,梁俊,肖楠,等.基于马尔科夫模型的认知无线电动态双门限能量检测策略[J].电子与信息学报,2016,38(10):2590-2597.
|
[5] |
陈振颂,李延来.基于广义信度马尔科夫模型的顾客需求动态分析[J].计算机集成制造系统,2014,20(0 3):666-679.
|
[6] |
李巍华,李静,张绍辉.连续隐半马尔科夫模型在轴承性能退化评估中的应用[J].振动工程学报,2014,27(04):613-620.
|
|
|
|