Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/12642
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dc.contributor.authorIbrahim, Aku Godwin-
dc.contributor.authorOyedum, Onyedi David-
dc.contributor.authorUsman, M. N-
dc.date.accessioned2021-08-06T10:12:45Z-
dc.date.available2021-08-06T10:12:45Z-
dc.date.issued2019-09-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/12642-
dc.description.abstractForecastingweather is the eminent role of Science and technology that predict the future condition of a weather for particular area. Unlike traditional methods, advanced weather forecasting involves a combination l computer models and knowledge of trends and patterns. Weather forecasting has turned out to be an importantarea of research in the past few decades which has affect the life of people. The purpose of this research was to view how frequently , ANN is being used for weather forecasting, ANN performanceand ways to improve it. This paper reviews the recent past and present use of artificialNeural Network for weather forecasting. Available literatures of some algorithm , techniques and parameters employed by different researchers to apply ANN for weatherforecasting was presented . At the end this review has shown that using Artificial Neural Network (ANN) approach for weather forecasting yields good result and can be considered as an alternative to traditional metrological approaches, BPNN found to be widely used and ENN can perform more than individual ANN. This study also highlighted the capabilities of ANN in predicting several weather phenommon's such as temperature rainfall, thunderstorm , others.en_US
dc.description.sponsorshipSelfen_US
dc.language.isoen_USen_US
dc.publisherIECen_US
dc.subjectArtificial Neural Networken_US
dc.subjectForecasting Techniquesen_US
dc.subjectAtmospheric parametersen_US
dc.titleArtificial Neural Network (ANN). A Formidable tool for Atmospheric Forecasting. A reviewen_US
dc.typeArticleen_US
Appears in Collections:Physics

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