A Fuzzy-neuro based Weather Prediction System for Bangladesh

This paper presents two new algorithms developed to make improvements in weather forecasting which can be applied to Bangladesh Meteorological Department (BMD) The algorithm Fuzzifier considers the overlapped wind speed of a cyclone to get a fuzzy output which is used in another algorithm Neuronet to determine the best range of wind speed. The best range produces a value which is converted to a percentage of the danger level. This would allow people living in coastal areas to get a better understanding of the forthcoming danger of a cyclone as compared to what is currently being practiced by the BMD which just warns by an alert number.