TY  - JOUR
AU  - Radovanović, Milan M.
AU  - Vyklyuk, Yaroslav
AU  - Malinović-Milićević, Slavica B.
AU  - Jakovljević, Dejana M.
AU  - Pecelj, Milica R.
PY  - 2015
UR  - https://dais.sanu.ac.rs/123456789/13498
AB  - The work examines the potential causative link between the flow of protons, i. e. temperature of the particles that are coming from the Sun and forest fires in the USA. For determination of the degree of randomness for time series of input (temperature of protons) and output parameters (number of forest fires), the R/S analysis is conducted. The analysis of fractal dimension provides us an opportunity to compare self-similar processes in the influx of protons and the time series of forest fires flashes. Therefore we developed and conducted the sensitivity analysis of model based on hybrid neural networks ANFIS. As the calculations showed, only 16% of the real forest flashes cannot be predicted by the model.
PB  - Belgrade :  Vinča Institute of Nuclear Sciences
T2  - Thermal Science
T1  - Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons
SP  - 437
EP  - 444
VL  - 19
IS  - 2
DO  - 10.2298/TSCI141103150R
UR  - https://hdl.handle.net/21.15107/rcub_dais_13498
ER  - 

@article{
author = "Radovanović, Milan M. and Vyklyuk, Yaroslav and Malinović-Milićević, Slavica B. and Jakovljević, Dejana M. and Pecelj, Milica R.",
year = "2015",
abstract = "The work examines the potential causative link between the flow of protons, i. e. temperature of the particles that are coming from the Sun and forest fires in the USA. For determination of the degree of randomness for time series of input (temperature of protons) and output parameters (number of forest fires), the R/S analysis is conducted. The analysis of fractal dimension provides us an opportunity to compare self-similar processes in the influx of protons and the time series of forest fires flashes. Therefore we developed and conducted the sensitivity analysis of model based on hybrid neural networks ANFIS. As the calculations showed, only 16% of the real forest flashes cannot be predicted by the model.",
publisher = "Belgrade :  Vinča Institute of Nuclear Sciences",
journal = "Thermal Science",
title = "Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons",
pages = "437-444",
volume = "19",
number = "2",
doi = "10.2298/TSCI141103150R",
url = "https://hdl.handle.net/21.15107/rcub_dais_13498"
}

Radovanović, M. M., Vyklyuk, Y., Malinović-Milićević, S. B., Jakovljević, D. M.,& Pecelj, M. R.. (2015). Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons. in Thermal Science
Belgrade :  Vinča Institute of Nuclear Sciences., 19(2), 437-444.
https://doi.org/10.2298/TSCI141103150R
https://hdl.handle.net/21.15107/rcub_dais_13498

Radovanović MM, Vyklyuk Y, Malinović-Milićević SB, Jakovljević DM, Pecelj MR. Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons. in Thermal Science. 2015;19(2):437-444.
doi:10.2298/TSCI141103150R
https://hdl.handle.net/21.15107/rcub_dais_13498 .

Radovanović, Milan M., Vyklyuk, Yaroslav, Malinović-Milićević, Slavica B., Jakovljević, Dejana M., Pecelj, Milica R., "Modelling of forest fires time evolution in the USA on the basis of long term variations and dynamics of the temperature of the solar wind protons" in Thermal Science, 19, no. 2 (2015):437-444,
https://doi.org/10.2298/TSCI141103150R .,
https://hdl.handle.net/21.15107/rcub_dais_13498 .