Assessment of Statistical Models for Rainfall Forecasting Using Machine Learning Technique
As heavy rainfall can lead to several catastrophes; the prediction of rainfall is vital. The forecast encourages individuals to take appropriate steps and should be reasonable in the forecast. Agriculture is the most important factor in ensuring a person's survival. The most crucial aspect of a...
Main Authors: | L. Gowri, K.R. Manjula, K. Sasireka, Durairaj Deepa |
---|---|
Format: | Article |
Language: | English |
Published: |
Pouyan Press
2022-04-01
|
Series: | Journal of Soft Computing in Civil Engineering |
Subjects: | |
Online Access: | http://www.jsoftcivil.com/article_147808_d6ce991e0fcbabf3a4464bb1d748089e.pdf |
Similar Items
-
Shallot Price Forecasting Models: Comparison among Various Techniques
by: Kasemset Chompoonoot, et al.
Published: (2023-12-01) -
Forecasting with Competing Models of Daily Bitcoin Price in R
by: Oluwatobi A. Adekunle, et al.
Published: (2022-06-01) -
The Dynamics of Trade Relations between Ukraine and Romania: Modelling and Forecasting
by: Oleksandr Melnychenko, et al.
Published: (2022-07-01) -
Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India
by: Ansari Saleh Ahmar, et al.
Published: (2023-01-01) -
Comparative Performance Analysis of Deep Learning, Classical, and Hybrid Time Series Models in Ecological Footprint Forecasting
by: Pınar Cihan
Published: (2024-02-01)