Minimum Weekly Temperature Forecasting using ANFIS

Abstract

Temperature changes had a direct effect on crops. In the present study an adaptive neuro-fuzzy inference system (ANFIS) has been used to model the relationship between maximum and minimum temperature data. Time series data of weekly maximum temperature at a location is analyzed to predict the maximum temperature of the next week at that location based on the weekly maximum temperatures for a span of previous n week referred to as order of the input. Mean weekly maximum and mean weekly minimum temperature data of 10 years 1997 to 2006 (520 weeks) taken from regional center of Indian Meteorological Department at  Dehradun, India. The objectives of this paper are to develop prediction model and validate its ability to provide weekly temperature data.

Keywords: Minimum weekly temperature, ANFIS, forecasting