Forecasting of Maximum and Minimum Temperature in Mandalay by Evolving Artificial Neural Networks Using Genetic Algorithms

Wutyi, Khaing Shwe

MERAL Myanmar Education Research and Learning Portal

Index Tree

RootNode
- Co-operative College, Mandalay
- Cooperative College, Phaunggyi
- Co-operative University, Sagaing
- Co-operative University, Thanlyin
- Dagon University
- Kyaukse University
- Laquarware Technological college
- Mandalay Technological University
- Mandalay University of Distance Education
- Mandalay University of Foreign Languages
- Maubin University
- Mawlamyine University
- Meiktila University
- Mohnyin University
- Myanmar Institute of Information Technology
- Myanmar Maritime University
- National Management Degree College
- Naypyitaw State Academy
- Pathein University
- Sagaing University
- Sagaing University of Education
- Taunggyi University
- Technological University, Hmawbi
- Technological University (Kyaukse)
- Technological University Mandalay
- University of Computer Studies, Mandalay
- University of Computer Studies Maubin
- University of Computer Studies, Meikhtila
- University of Computer Studies Pathein
- University of Computer Studies, Taungoo
- University of Computer Studies, Yangon
- University of Dental Medicine Mandalay
- University of Dental Medicine, Yangon
- University of Information Technology
- University of Mandalay
- University of Medicine 1
- University of Medicine 2
- University of Medicine Mandalay
- University of Myitkyina
- University of Public Health, Yangon
- University of Veterinary Science
- University of Yangon
- West Yangon University
- Yadanabon University
- Yangon Technological University
- Yangon University of Distance Education
- Yangon University of Economics
- Yangon University of Education
- Yangon University of Foreign Languages
- Yezin Agricultural University
- New Index

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Forecasting of Maximum and Minimum Temperature in Mandalay by Evolving Artificial Neural Networks Using Genetic Algorithms

http://hdl.handle.net/20.500.12678/0000004441

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Publication type
		Article
Upload type
		Publication
Title
	Title	Forecasting of Maximum and Minimum Temperature in Mandalay by Evolving Artificial Neural Networks Using Genetic Algorithms
	Language	en_US
Publication date		2012-02-28
Authors
		Wutyi, Khaing Shwe
Description
		Forecasting of weather is very popular innowadays. But forecasting the future from theobserved past is very difficult. There are severalforecasting methods for weather data. Amongthem, evolving artificial neural networks aresuitable for weather time series forecastingbecause of their abilities to learn and adapt anew situation by recognizing new patterns inprevious data. However, ANNs present somedrawbacks such as over fitting and long timeprocessing. Using ANNs together with geneticalgorithm comes to solutions of these problems.Genetic artificial neural networks (GANNs) cangive optimal forecasting result from the observedpast. In order to provide more effective ANNs,the proposed system use cascade backpropagation instead of back propagationmethod. Weather parameters (attributes) such asrain fall (precipitation), humidity, wind force,dew point, sea level, wind direction will also beused to forecast maximum and minimumtemperature.
Keywords
		Artificial Neural Networks (ANN), Genetic Algorithms (GA), Time Series (TS), Mean Square Error (MSE), Specific Mean Square Error (SMSE), Multi Layer Perceptron(MLP)
Identifier		http://onlineresource.ucsy.edu.mm/handle/123456789/2373
Journal articles
		Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations