A Fuzzy-neuro based Weather Prediction System for Bangladesh

Rahman, Tamjid; Haque, Abul L.

doi:10.1016/j.procs.2014.09.061

Cited by 4 publications

(3 citation statements)

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“…There are two new algorithms that are addressed by Rahman and Haque (2014) to make improvements in the process of weather forecasting which could be implemented and applied in the Meteorological Department of Bangladesh (BMD). The study identified how these algorithms help in determining the best range of the wind speed, which further assist inhabitants living near coastal regions and to make them aware of the danger coming towards them.…”

Section: Literature Review Seafarers and Shipbuilding Prospectsmentioning

confidence: 99%

Development of Maritime Professionals in Bangladesh: A Literature Review

Hossain

Islam

2021

int.jour.sci.res.mana.

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Bangladesh has a rich shipping history. The country is dependent economically as well as socially and politically on the industry. While, the country is slowly regaining global recognition, the industry is no less on challenges. The seafarers face major issues due to the factors such as conditions of the maritime education and training institutes, forged documentation, negative reputation of the country, etc. Further, the seafarers of Bangladesh also lack skills and training when compared to the seafarers of the other developed countries. Moreover, the country lacks technological resources too, which makes it even more difficult for the seafarers to grow in the industry. The article looked at the different sets of improvements that can be made to the shipping industry and make it easy for the seafarers to get proper jobs in the industry. This study explored the challenges and opportunities for the seafarers and the industry though a review of literature.

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Section: Literature Review Seafarers and Shipbuilding Prospectsmentioning

confidence: 99%

Development of Maritime Professionals in Bangladesh: A Literature Review

Hossain

Islam

2021

int.jour.sci.res.mana.

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“…ANN is able to automatically map the relationship between the stored parameters [6]. Rahman and Haque [14] shows fuzzy system based on weather prediction for Bangladesh. They considered wind speed for measuring cyclone danger level where wind speed range is divided into 9 categories.…”

Section: Introductionmentioning

confidence: 99%

“…It includes fuzzy algorithms to get the fuzzy output to determine the best range of wind speed where best range is converted to a percentage of the danger level. Using Fuzzy based logic with the categories of numerical data overlapping shows 84% of accuracy in weather prediction [14].…”

Section: Introductionmentioning

confidence: 99%

Monthly Weather Forecasting through ANN Model: A Case Study in Barisal, Bangladesh

Islam¹,

Saha²,

Evan³

et al. 2016

International Journal of Advanced Research in Computer and Comm

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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 methodology that considers specific and significant weather parameters from meteorological data in MATLAB platform to train the ANN based model. This paper includes a case study on prediction of heavy rainfall in Barisal City of Bangladesh using the model of artificial neural network (ANN) for monthly basis reliable weather forecasting planning. The model has been tested with individual month's average rainfall percentage to obtain the confirmation of the model. The results based on mean square error function (MSE) confirm the reliability of model based on multilayer perceptions for weather forecasting with successful application. The results are compared with weather information of FORECA limited to validate the seasonal disaster prediction criteria. This paper is important for the preparedness of people about forthcoming disaster in Bangladesh.

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