Comparative Analysis of ANFIS, ARIMA and Polynomial Curve Fitting for Weather Forecasting

Background/Objectives: Weather forecasting is to facilitate the appliance of knowledge and tools to predict the state of the atmosphere for a future time at a given location. Methods/Statistical Analysis: This paper focused to forecast the weather conditions on Indian weather conditions using three approaches such as ANFIS, ARIMA and polynomial curve fitting. It’s disbursed by collection quantitative information regarding state of the atmosphere and past and/or present experiences. Findings: In this analysis, this work reveals the superior performance of polynomial curve fitting through the SSE, RMSE, MAE and R 2 .