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dc.contributor.authorSaiuparad, Sunisaen_US
dc.contributor.authorสุนิสา สายอุปราชen_US
dc.contributor.authorPhanthuna, Piyatidaen_US
dc.contributor.authorปิยธิดา พันธุนะen_US
dc.contributor.authorSupirat, Chawaneeen_US
dc.contributor.authorชวนี สุภิรัตน์en_US
dc.date.accessioned2021-08-27T08:01:23Z
dc.date.available2021-08-27T08:01:23Z
dc.date.issued2021-08-27
dc.identifier.urihttp://repository.rmutp.ac.th/handle/123456789/3661
dc.descriptionรายงานวิจัย -- มหาวิทยาลัยเทคโนโลยีราชมงคลพระนคร, 2563en_US
dc.description.abstracthe monthly rainfall forecasts are very important in Thailand because the most of people has a career in agriculture. The monthly rainfall forecasts can be analyzed for manage water resources. In addition, the monthly rainfall forecasting is used to manage water for consume in Thailand. This research is forecasting monthly rainfall under the global warming using a multilayer neural network. It is a network with one hidden layer. The data from the Meteorological Department is use. Imported variables include temperature, humidity and wind. The forecast from January to December 2018. The mean square error (MSE) to measure forecasting accurate and found that the value is suitable error (10.25). The neural network can provide accurate monthly rainfall forecasts from January to December. It was found that the southern region had the highest rainfall and the eastern region, northeastern region, northern region, central and western regions, respectively. Therefore, neural networks can be forecast rainfall accurately and efficiently. It can be used to analyze and manage water resources effective.en_US
dc.description.sponsorshipRajamangala University of Technology Phra Nakhonen_US
dc.language.isothen_US
dc.subjectForecasten_US
dc.subjectการพยากรณ์en_US
dc.subjectNeural networken_US
dc.subjectโครงข่ายประสาทเทียมen_US
dc.subjectGlobal warmingen_US
dc.subjectภาวะโลกร้อนen_US
dc.titleForecasting of monthly rainfall in thailand under the global warming by artificial neural networken_US
dc.title.alternativeการพยากรณ์ปริมาณน้ำฝนรายเดือนบริเวณประเทศไทยภายใต้ภาวะโลกร้อน โดยใช้โครงข่ายประสาทเทียมen_US
dc.typeResearch Reporten_US
dc.contributor.emailauthorsunisa.s@rmutp.ac.then_US
dc.contributor.emailauthorpiyatida.r@rmutp.ac.then_US
dc.contributor.emailauthorchawanee.s@rmutp.ac.then_US
dc.contributor.emailauthorarit@rmutp.ac.then_US


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