Neural Network and Regression Methods for Estimation of the Average Daily Temperature of Hyderabad for the Years 2018-2020

A qualitative study on temperature distribution has been executed in Hyderabad by several researchers. This study, however, is the first attempt to quantitatively. Two different methods, i.e., Artificial Neural Network (ANN) and Regression Analysis (RA), have used determine average daily for Hyderabad, a city Pakistan. Both methods are predict of years; 2018, 2019, 2020. In (NN) analysis, network was trained validated three years with recorded from 2015-2017. With help training validation parameters hidden layer, d aily predicted 2018-2020. Based input (dew point, relative humidity, wind speed), multiple regression model developed, 2018-2020 again. For statistical errors, Root Mean Square Error (RMSE), Absolute (MABE), Percent (MAPE), coefficient determination calculated. The errors show that models neural provide good prediction distribution. However, results better than model.