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Prediction Model of Equipment Maintenance Materials Consumption Based on Improved BP Neural Network

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4 Author(s)
Lianghua Zhang ; Staff Room of Inf. Technol. & Simulation, Inst. of Chem. Defense, Beijing, China ; Qiang Hu ; Mingfei Wu ; Jin Gu

To make an accurate prediction about the amount of equipment maintenance materials consumption (EMMC), which plays an important role of equipment maintenance materials support, precondition and management, an LM algorithm prediction model of EMMC established based on the improved BP neural network algorithm by means of history data processing, and which has been discussed and verified through example analysis. Experimental results show that the LM prediction algorithm model provides better precision and performance result than the batch gradient descent method with momentum.

Published in:

Computational and Information Sciences (ICCIS), 2010 International Conference on

Date of Conference:

17-19 Dec. 2010

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