2016
DOI: 10.17148/ijarcce.2016.5601
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Monthly Weather Forecasting through ANN Model: A Case Study in Barisal, Bangladesh

Abstract: Bangladesh demonstrates seasonal alterations with six seasons where natural calamities cause tragic death of lives and severe hazardous in Bangladesh regularly and frequently. It is difficult to predict the weather pattern because of non-linear characteristics of natural disaster and seasonal changes in the country. The conventional weather prediction models are conducting in a huge domain and high resolution in Bangladesh which is constraint to show reliable seasonal disaster predictions. The research uses a … Show more

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Cited by 8 publications
(4 citation statements)
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“…Likewise, a test in which neural systems are utilized to relapse and arrange the least temperature and most extreme blast climate factors are displayed. This examination used a dataset having climate aspects recorded at regular time period throughout a year by a separate climate accumulation station in Statesboro, Georgia (Islam et al, 2016).…”
Section: Related Workmentioning
confidence: 99%
“…Likewise, a test in which neural systems are utilized to relapse and arrange the least temperature and most extreme blast climate factors are displayed. This examination used a dataset having climate aspects recorded at regular time period throughout a year by a separate climate accumulation station in Statesboro, Georgia (Islam et al, 2016).…”
Section: Related Workmentioning
confidence: 99%
“…And their evolutionary process model demonstrated the good results. In [10] somehow, we find it difficult to figure out the prediction patterns because of some consistencies happened in characteristics of weather. Authors targeted the occurrence of changes specifically conducting in a huge region of Bangladesh.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Variations in rainfall intensity and magnitude are key indicators of changes in food occurrences, drought events, and exceptionally dry or wet seasons, which can result in signifcant harm to ecosystems, plant and animal life, property, and food security through declines in agricultural output [5][6][7]. Moreover, investigating macrolevel variables and trends in rainfall is essential for researchers examining extensive geographic areas such as river basins, countries, or regions, enabling the exploration of sustainable solutions for food control and drought mitigation [8][9][10][11][12].…”
Section: Introductionmentioning
confidence: 99%