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...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2009
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Online Access: | http://ndltd.ncl.edu.tw/handle/17506409668606265471 |