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铁道科学与工程学报

JOURNAL OF RAILWAY SCIENCE AND ENGINEERING

Vol. 15    No. 1    February 2005

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ANN valuation model of material LCIA profile
CHEN Wei-ping(陈维平), LIU Hua(刘 华), ZHAO Hai-dong(赵海东),
ZHU Quan-li(朱权利), LI Yuan-yuan (李元元)

College of Mechanical Engineering, South China University of Technology,
Guangzhou 510640, China

Abstract:Weighting model is the only valuation model of life cycle impact assessment (LCIA) profile now. It simplifies evaluation function into linear function, and makes the determination of weighting factor complicated. Therefore the valuation of LCIA profile is the most critical and controversial step in life cycle assessment (LCA). Development on valuation models, which are understood easily and accepted widely, is urgently needed in the field of LCA. The modeling approaches for the linear evaluation function were summed up. The modeling approaches for the nonlinear evaluation function were set up by function approximation theory, which include choosing preference products, forming preference data, establishing artificial neural network (ANN) and training ANN by preference data. By selecting 7 material products as preference product, experience was done with modeling approaches of the nonlinear evaluation function. The results show that the modeling approaches and valuation model of the nonlinear evaluation function are more practical than the weighting model.

 

Key words: material life cycle assessment; life cycle impact assessment; valuation model; weight model; function approximation; artificial neural network; preference product

ISSN 1672-7029
CN 43-1423/U

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