Application of neural network on environmental impact assessment tools

被引：0

作者：

Manufacturing Engineering Department, University of Texas-Pan American, TX, 78539, United States ^{[1
]}

不详 ^{[2
]}

机构：

来源：

Int. J. Sustainable Manuf. | 2008年 / 1-2卷 / 100-121期

关键词：

Environmental impact assessments - Life cycle;

D O I：

10.1504/IJSM.2008.019229

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

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. Copyright © 2008 Inderscience Enterprises Ltd.

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