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QUANTIFICATION ENVIRONMENTAL ASPECTS BY FEED-FORWARD BACKPROPAGATION NEURAL NETWORK


JOVANOVIÆ JELENA, ZDRAVKO KRIVOKAPIÆ, ALEKSANDAR VUJOVIÆ
FACULTY OF MECHANICAL ENGINEERING, CENTER OF QUALITY, MONTENEGRO

Issue:

MOCM, Number 12, Volume I

Section:

MOCM - Volume I (2006)

Abstract:

The contribution of this paper is directed towards environmental aspects quantification phase where new method based on neural network was initiated. The method should provide sufficient objectiveness and accuracy in assessment of environmental impacts for all types of organization and it is based upon the specificity of available mathematical models used by certified organizations in SCG. Taking into account significance of the request 4.3.1, “Environmental aspects” in ISO 14001 the arbitrariness and insufficient preciseness in the procedure of quantification of aspects and impacts on environment favoured by the standard encouraged the authors of this paper to initiate research in this field on the basis of artifical neural network.

Keywords:

aspect, impact, artificial neural network, quantification.

Code [ID]:

MOCM200612V01S01A0021 [0000718]


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