• Chalciya Elizabeth Rani P
• H P Mohan Kumar

Rainfall could be a outcome of composite nature progressions and switch intent on be one among the chief anxieties in weather-related service area. rain foretelling is portion of weather foretelling and is important for various segments, comparable to farming, water store administration, deluge administration furthermore as transport. rain forecast is helpful to advise concerning natural tragedy such as deluge also to strategy a brainpan movement such as harvest define arrangement. rain foretelling still end up to be an interesting duty thanks to the paradox of natural spectacles. The neural organization primarily based precipitation expectation model created during this examination utilizes the previous 3 precipitation rates at thirty-second spans from time (t2) to time (t) to decrease precipitation the downward manner for 30 seconds.

ANN, Image Processing, Pattern Recognition, K-means Clustering Algorithm

"Rainfall Rate Prediction Built On ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.b140-b146, August-2021, Available :http://www.jetir.org/papers/JETIR2108147.pdf

"Rainfall Rate Prediction Built On ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppb140-b146, August-2021, Available at : http://www.jetir.org/papers/JETIR2108147.pdf