Application of neural network on environmental impact assessment tools

Jianzhi Li, Zhenhua Wu, Hong Chao Zhang

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Intended to provide an applicable evaluation methodology for product environmental impacts, this paper presents a survey of the current Environment Impact Assessment (EIA) methodologies. As a proposed remedy for existing tools, an Artificial Neural Network (ANN) approach is developed to estimate the missing data. To provide updated Life Cycle Assessment (LCA) information for major components used in the electronic industry, a detailed analysis of two recent delivered computer systems are provided in the paper using the ANN approach. This paper also discusses incorporation of recycling scenarios in the LCA for electronic products.

Original languageEnglish
Pages (from-to)100-121
Number of pages22
JournalInternational Journal of Sustainable Manufacturing
Volume1
Issue number1-2
DOIs
StatePublished - Jul 2008

Keywords

  • ANN
  • Artificial neural network
  • Environmental impact assessment
  • Life cycle analysis
  • Product analysis

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