PARALLEL the GRAY MODEL and NEURAL NETWORK TYPE to FORECAST THE EQUIPMENT MATERIAL

碩士 === 國防大學理工學院 === 兵器系統工程碩士班 === 97 === This study discussed military spare parts and inventory predicting method; we use the Parallel Grey and Neural Network (PGNN) method to forecast the requirement of army materials. The sample used to predict the material requirement for next year is collected...

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Bibliographic Details
Main Authors: Jin-Yih Chiang, 金益強
Other Authors: Tien-Sheng Tang
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/17506409668606265471