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首页> 外文期刊>Thermal science >APPLICATION OF ADAPTIVE NEURO-FUZZY INTERFERENCE SYSTEM MODELS FOR PREDICTION OF FOREST FIRES IN THE USA ON THE BASIS OF SOLAR ACTIVITY
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APPLICATION OF ADAPTIVE NEURO-FUZZY INTERFERENCE SYSTEM MODELS FOR PREDICTION OF FOREST FIRES IN THE USA ON THE BASIS OF SOLAR ACTIVITY

机译:基于太阳活动度的自适应神经模糊推理系统模型在美国森林火灾预测中的应用

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In this research we search for a functional dependence between the occurrence of forest fires in the USA and the factors which characterize the solar activity. For this purpose we used several methods (R/S analysis, Hurst index) to establish potential links between the influx of some parameters from the sun and the occurrence of forest fires with lag of several days. We found evidence for a connection and developed a prognostic scenario based on the Adaptive neuro-fuzzy interference system (ANFIS) technique. This scenario allows the prediction between 79-93% of forest fires. [Projekat Ministarstva nauke Republike Srbije, br. III47007]
机译:在这项研究中,我们寻找美国森林火灾的发生与表征太阳活动的因素之间的功能依赖性。为此,我们使用了几种方法(R / S分析,赫斯特指数)来建立一些参数(来自太阳的涌入)与几天后的林火之间的潜在联系。我们找到了建立联系的证据,并基于自适应神经模糊干扰系统(ANFIS)技术开发了一种预后方案。这种情况下可以预测森林火灾的79-93%。 [Projekat Ministarstva nauke Republike Srbije,br。 III47007]

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