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Evaluation of environmental impacts using backpropagation neural network

Jelena Jovanovic (Faculty of Mechanical Engineering, University of Montenegro, Podgorica, Montenegro)
Zdravko Krivokapic (Faculty of Mechanical Engineering, University of Montenegro, Podgorica, Montenegro)
Aleksandar Vujovic (Faculty of Mechanical Engineering, University of Montenegro, Podgorica, Montenegro)

Kybernetes

ISSN: 0368-492X

Article publication date: 24 May 2013

461

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

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