Application of Neural Network in Atmospheric Refractivity Profile at Makurdi

机译：神经网络在马库尔迪大气折射率剖面中的应用

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The refractivity profile variation in troposphere is one of the aspects that influences long-distance terrestrial electromagnetic wave propagation and performance of communication systems.This study is aimed at calculating and estimating radio refractivity at Makurdi with tropospheric parameters of relative humidity,absolute temperature and atmospheric pressure using ITU-R and artificial neural network models.Validation results are thus,absolute temperature=0.4313 K,relative humidity=0.9989％,pressure=0.0201 (hpa) respectively.The validation of the correlation coefficient results shows that all the tropospheric parameters have effects on radio refractivity,but relative humidity has more effect which is attributed to the large quantity of moisture at the troposphere.From the estimation results,it is clear that artificial neural network has the capacity of estimating tropopheric refractivity since the estimated values has close agreement with the calculated values.

机译：对流层的折射率分布变化是影响长距离地面电磁波传播和通信系统性能的方面之一。本研究旨在利用相对湿度，绝对温度和大气压力的对流层参数计算和估计马库尔迪的无线电折射率验证结果分别为：绝对温度= 0.4313 K，相对湿度= 0.9989％，压力= 0.0201（hpa）。相关系数结果的验证表明，所有对流层参数都有影响。对射电率的影响，但是相对湿度的影响更大，这是由于对流层中的大量水分。从估计结果来看，很明显，人工神经网络具有估计对流层折射率的能力，因为估计值与对流层折射率具有密切的一致性计算值。

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来源
《2013 International conference on information business and education technology》|2013年|140-142|共3页
会议地点 Beijing(CN)
作者
Agbo G.A; Ibeh G.F; Onah D.U; Umahi A.E; Nnaji E; Ugwuonah F.C;
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作者单位

Industrial Physics Department, Ebonyi State University, Abakaliki, Ebonyi State;

Industrial Physics Department, Ebonyi State University, Abakaliki, Ebonyi State;

Industrial Physics Department, Ebonyi State University, Abakaliki, Ebonyi State;

Industrial Physics Department, Ebonyi State University, Abakaliki, Ebonyi State;

Industrial Physics Department, Ebonyi State University, Abakaliki, Ebonyi State;

Industrial Physics Department, Ebonyi State University, Abakaliki, Ebonyi State;

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会议组织
原文格式 PDF
正文语种 eng
中图分类商业信息;
关键词
refractivity; artificial neural network; tropospheric; ITU-R model;

机译：折射率人工神经网络对流层ITU-R模型;

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Application of Neural Network in Atmospheric Refractivity Profile at Makurdi

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