• GowriManohara A
• yuvalakshmi
• KAVYASHREE N

Artificial neural community is the aspect of synthetic intelligence that is supposed to simulate the functioning of a human brain. In this paper, we gift a version for precipitation fee assumption 30 seconds in advance of agenda the use of a phony neural affiliation. The resultant predicted precipitation fee could then have the choice for use in selecting a fittings haze counter-measures, for instances, automatic guiding principle plan proper on time, to preserve the piece botch fee (BER) at the affiliation internal appropriate tiers to permit constant motion ofdata at the affiliation for the duration of a hurricane event. The technique used on this paper is plan confirmation technique that considers recorded precipitation fee plans over Durban (29.8587°S, 31.0218°E). The resultant conjecture version is discovered to anticipate a non permanent hurricane fee whilst given 3 nearby chronicled deluge rates. For our version endorsement, bumble exam thru root imply square (RMSE) method on our gauge version consequences display that resultant mix-ups exist in commendable traits at distinct hurricane activities internal distinct precipitation frameworks.

Back proliferation neural organization, precipitation fee, downpour occasion, precipitation fee forecast, Monsoon rainfall, prediction, synthetic neural communityA

"Rainfall Rate Prediction Based on Artificial Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.d420-d425, July-2021, Available :http://www.jetir.org/papers/JETIR2107445.pdf

"Rainfall Rate Prediction Based on Artificial Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppd420-d425, July-2021, Available at : http://www.jetir.org/papers/JETIR2107445.pdf