Title :
Study on the Model of Torpedo´s Best Service Year
Author :
Liang, Qingwei ; Zhao, Minquan ; Yang, Pu
Author_Institution :
Coll. of Marine, NWPU, Xi´´an, China
Abstract :
Determining of the torpedo´s service year reasonably, it is an effective way to reduce the military expenses expenditure, and forecast the torpedo economic life. We can forecast the data of exponential use maintenance cost by using the grey metabolism GM(1,1) model. In order to improve the prediction precision, the data was divided into several groups, and prediction residual was modified by using neural network. Finally it is verified that the method is reasonable by an example.
Keywords :
economic forecasting; grey systems; life cycle costing; military systems; neural nets; exponential use maintenance cost data; grey metabolism model; military expense expenditure; neural network; prediction precision; prediction residual; torpedo best service year; torpedo economic life forecasting; 1) model; BP neural network; forecasting; maintaining cost; metabolism GM(1; torpedo;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2010 International Conference on
Conference_Location :
ChangSha
Print_ISBN :
978-0-7695-4286-7
DOI :
10.1109/ICDMA.2010.252
