Evaluation of environmental impacts using backpropagation neural network
Abstract
Purpose
The purpose of this present study is to find a scientific method for the evaluation of environmental impacts according to the requirement 4.3.1.
Design/methodology/approach
To realize the objectives, the authors worked with a representative sample from certified ISO 14001 organizations. The data aim to identify and evaluate (according to the organization's methodology) significant environmental impacts. In this study, the authors created two models for the evaluation of environmental impacts based on an artificial neural network applied in the pilot organization and compared the results obtained from these models with those obtained by applying an analytic hierarchy process (AHP) method. AHP is part of an multi‐criteria decision making method and provides good multi‐criteria support for decision making for problems that can be structured hierarchically.
Findings
This paper presents a new approach that uses a backpropagation neural network to evaluate environmental impacts regardless of the organization type.
Originality/value
This paper presents a unique approach for the reliable and objective evaluation of environmental impacts.
Keywords
Citation
Jovanovic, J., Krivokapic, Z. and Vujovic, A. (2013), "Evaluation of environmental impacts using backpropagation neural network", Kybernetes, Vol. 42 No. 5, pp. 698-710. https://doi.org/10.1108/K-03-2013-0055
Publisher
:Emerald Group Publishing Limited
Copyright © 2013, Emerald Group Publishing Limited