[HTML][HTML] Assessing the suitability of soft computing approaches for forest fires prediction

S Al_Janabi, I Al_Shourbaji, MA Salman - Applied computing and …, 2018 - Elsevier
Forest fires present one of the main causes of environmental hazards that have many
negative results in different aspect of life. Therefore, early prediction, fast detection and rapid
action are the key elements for controlling such phenomenon and saving lives. Through this
work, 517 different entries were selected at different times for montesinho natural park
(MNP) in Portugal to determine the best predictor that has the ability to detect forest fires,
The principle component analysis (PCA) was applied to find the critical patterns and particle …

[引用][C] Assessing the suitability of soft computing approaches for forest fires prediction

سماهر حسين علي الجنابي - 2017‎ - repository.uobabylon.edu.iq
… سماهر,حسين,علي,الجنابي ,Assessing the suitability of soft computing approaches for forest
fires prediction , Time 16/10/2017 03:08:15 : كلية العلوم للبنات … Elsevier: Applied
Computing and Informatics … Forest fires, Soft computing, Prediction, Principle component
analysis, swarm optimization, Cascade correlation network, Multilayer perceptron neural
network, Polynomial neural networks, Radial basis function, Support vector …
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