Assessing the Probability of Forest Fire Occurring using Dong Model, Artificial Neural Network and K Nearest Neighbors in Babolrood Basin, Mazandaran-Reference-Cited by-同舟云学术

Assessing the Probability of Forest Fire Occurring using Dong Model, Artificial Neural Network and K Nearest Neighbors in Babolrood Basin, Mazandaran

Published:2021-05-01 Issue:17 Volume:9 Page:185-195
ISSN:2423-7140
Container-title:Ecology of Iranian Forests
language:fa
Short-container-title:ifej

Author:

eslami raheleh,azarnoosh mohammadreza,kialashaki ali,kazemnejad farid, , , ,

Publisher

CMV Verlag

Subject

General Medicine

Link

http://ifej.sanru.ac.ir/article-1-418-en.pdf

Reference36 articles.

1. Abedi Gheshlaghi, H. and K. Valizadeh Kamran. 2017. Evaluation and zoning of forest fire risk using multi-criteria decision-making techniques and GIS. Iranian Journal of Natural Environmental Hazards, 7(15): 49-66 (In Persian).

2. Aleemahmoodi Sarab, S., J. Feghhi, A. Jabarian and B. Amiri. 2013. Predicting the occurrence of natural fires in forests and ranges using artificial neural networks (Case study: Zagros region, Izeh county). Iranian journal of Applied Ecology, 1(2): 75-86 (In Persian).

3. Modeling human-caused forest fire ignition for assessing forest fire danger in Austria

4. Using multi variate data mining techniques for estimating fire susceptibility of Tyrolean forests

5. Long – Term Effect of Fire on Woody Species Composition and their Natural Regeneration in Hyrcanian Forests, (Case Study: Lesakouti Forest of Tonekabon, Mazandaran Province)

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