Neural network model for product end-of-life strategies

Jahau Lewis Chen, Jun Nan Wu

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面159-164
頁數6
出版狀態Published - 2003 7月 17
事件2003 IEEE International Symposium on Electronics and the Environment - Boston MA, United States
持續時間: 2003 5月 192003 5月 22

Other

Other2003 IEEE International Symposium on Electronics and the Environment
國家/地區United States
城市Boston MA
期間03-05-1903-05-22

All Science Journal Classification (ASJC) codes

  • 環境工程
  • 廢物管理和處置
  • 污染
  • 電氣與電子工程

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