• Sowmya B
• Rashmi S
• Geetha M.M

The yearly rainfall in India is classified into four distinct seasons, according to the Indian Institute of Tropical Meteorology (IITM) and the Indian Meteorological Department (IMD). These seasons include winter, pre-monsoon (PRM), southwest monsoon (SWM), and northeast monsoon (NEM or post-monsoon). What is commonly referred to as the winter monsoon is the total seasonal precipitation that occurs during the months of January and February. The pre-monsoon period extends from March to May. The southwest monsoon (SWM) is the term used to describe the rainfall that occurs from June to September, whereas the northeast monsoon occurs from October to December. A number of fundamental statistics, including long-period average (LPA), long-period deviation (LPD), skewness, and kurtosis, are at the same level as they are in other regions of Karnataka. The southwest monsoon is the time of year that experiences the highest measures of rainfall. The Artificial Neural Network (ANN) technique was utilized by us in order to solve the aforementioned issues, as it demonstrates a non-linear relationship and a modest correlation. Forecasting is made easier by the ANN approach, which also allows for the management of unstructured non-relationship conditions. With the use of the Artificial Neural Network (ANN) technology, we are attempting to create a model that is suited for a variety of input nodes, and the Root Mean Squared Error (RMSE) value can be minimized in accordance with this methodology.

Rainfall, Pre-monsoon (PRM), South-west monsoon (SWM), North-east Monsoon (NEM), ANN technique and RMSE.

"A STATISTICAL ANALYSIS TO PREDICT INDIAN MONSOON VARIABILITY FOR THE REGION OF COASTAL KARNATAKA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.45-50, May 2018, Available :http://www.jetir.org/papers/JETIR1805A10.pdf

"A STATISTICAL ANALYSIS TO PREDICT INDIAN MONSOON VARIABILITY FOR THE REGION OF COASTAL KARNATAKA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp45-50, May 2018, Available at : http://www.jetir.org/papers/JETIR1805A10.pdf