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ANN valuation model of material LCIA profile ANN valuation model of material LCIA profile

ANN valuation model of material LCIA profile

  • 期刊名字:中國有色金屬學(xué)會(huì)會(huì)刊(英文版)
  • 文件大小:
  • 論文作者:CHEN Wei-ping,LIU Hua,ZHAO Hai
  • 作者單位:College of Mechanical Engineering
  • 更新時(shí)間:2023-02-11
  • 下載次數(shù):
論文簡(jiǎn)介

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.

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