Neural network model for product end-of-life strategies

Jahau Lewis Chen, Jun Nan Wu

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

Neural network has the advantages of easily to use and feasible to non-linear problems with learning capability. The theory of End-of-Life Design Advisor (ELDA) is selected as the basic structure of back-propagation neural network to determine the useful strategy. Furthermore, self organize map neural network was selected to analyze the relation between each strategies. Hence, the trained neural networks can simulate the analysis mode of ELDA rapidly and offer the designer with an easy operation method in the relative research domain.

Original languageEnglish
Pages159-164
Number of pages6
Publication statusPublished - 2003 Jul 17
Event2003 IEEE International Symposium on Electronics and the Environment - Boston MA, United States
Duration: 2003 May 192003 May 22

Other

Other2003 IEEE International Symposium on Electronics and the Environment
CountryUnited States
CityBoston MA
Period03-05-1903-05-22

All Science Journal Classification (ASJC) codes

  • Environmental Engineering
  • Waste Management and Disposal
  • Pollution
  • Electrical and Electronic Engineering

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