Comprehensive Analysis on Weather Prediction Methods (original) (raw)

2014

Abstract

Forecasting is an art which combines scientific methods and past experiences with an aim to extract maximum possible information needed for an extrapolation. Forecasting is a very interesting research topic and has been attracting many researchers from the last few decades. Before forecasting, the weather observations are collected. Weather is a continuous, dataintensive, multidimensional, dynamic and chaotic process, and these properties make weather forecasting a big challenge. This manuscript discusses some weather forecasting and temperature forecasting methods. For weather forecasting methods like CBR (Case Based Reasoning) and FST (Fuzzy Set Theory) are studied which deals with the forecasting problems. While for temperature forecasting MRNFS (Mamdani Recurrent Neuro-Fuzzy System) has been studied, which is trained with the help of two robust population-based algorithms.

Dr. Deepti Sisodia hasn't uploaded this paper.

Let Dr. Deepti know you want this paper to be uploaded.

Ask for this paper to be uploaded.