The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects

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Izvoz citacije: ABNT
JOVANOVIĆ, Jelena ;KRIVOKAPIĆ, Zdravko .
The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 52, n.6, p. 392-403, august 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/the-application-of-an-atypical-neural-network-when-quantifying-the-modeling-of-environmental-aspects/>. Date accessed: 24 apr. 2024. 
doi:http://dx.doi.org/.
Jovanović, J., & Krivokapić, Z.
(2006).
The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects.
Strojniški vestnik - Journal of Mechanical Engineering, 52(6), 392-403.
doi:http://dx.doi.org/
@article{.,
	author = {Jelena  Jovanović and Zdravko  Krivokapić},
	title = {The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {52},
	number = {6},
	year = {2006},
	keywords = {neural networks; environmental protection; environmental aspect; environmental impact; quantification; },
	abstract = {This paper looks at the environmental aspects’ quantification phase, where a new method based on a neural network was initiated. The method should provide sufficient objectivity and accuracy in the assessment of environmental impacts for all types of organization, and it is based on the specificity of available mathematical models used by certified organizations in Serbia & Montenegro.},
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	url = {https://www.sv-jme.eu/sl/article/the-application-of-an-atypical-neural-network-when-quantifying-the-modeling-of-environmental-aspects/}
}
Jovanović, J.,Krivokapić, Z.
2006 August 52. The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 52:6
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Jovanović, Jelena, & Zdravko  Krivokapić.
"The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects." Strojniški vestnik - Journal of Mechanical Engineering [Online], 52.6 (2006): 392-403. Web.  24 Apr. 2024
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AU  - Jovanović, Jelena 
AU  - Krivokapić, Zdravko 
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TI  - The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - neural networks; environmental protection; environmental aspect; environmental impact; quantification; 
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	title = {The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects},
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	volume = {52},
	number = {6},
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TY  - JOUR
AU  - Jovanović, Jelena 
AU  - Krivokapić, Zdravko 
PY  - 2017/08/18
TI  - The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 52, No 6 (2006): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - neural networks, environmental protection, environmental aspect, environmental impact, quantification, 
N2  - This paper looks at the environmental aspects’ quantification phase, where a new method based on a neural network was initiated. The method should provide sufficient objectivity and accuracy in the assessment of environmental impacts for all types of organization, and it is based on the specificity of available mathematical models used by certified organizations in Serbia & Montenegro.
UR  - https://www.sv-jme.eu/sl/article/the-application-of-an-atypical-neural-network-when-quantifying-the-modeling-of-environmental-aspects/
Jovanović, Jelena, AND Krivokapić, Zdravko.
"The Application of an Atypical Neural Network when Quantifying the Modeling of Environmental Aspects" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 52 Number 6 (18 August 2017)

Avtorji

Inštitucije

  • University of Podgorica, Faculty of Mechanical Engineering, Montenegro
  • University of Podgorica, Faculty of Mechanical Engineering, Montenegro

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 52(2006)6, 392-403
© The Authors, CC-BY 4.0 Int. Change in copyright policy from 2022, Jan 1st.

This paper looks at the environmental aspects’ quantification phase, where a new method based on a neural network was initiated. The method should provide sufficient objectivity and accuracy in the assessment of environmental impacts for all types of organization, and it is based on the specificity of available mathematical models used by certified organizations in Serbia & Montenegro.

neural networks; environmental protection; environmental aspect; environmental impact; quantification;