Application of neural network on environmental impact assessment tools

Jianzhi Li, Zhenhua Wu, Hong Chao Zhang

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


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
Issue number1-2
StatePublished - Jul 2008


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


Dive into the research topics of 'Application of neural network on environmental impact assessment tools'. Together they form a unique fingerprint.

Cite this