Assessment of Annual Average Temperature by Soft Computing Model

Abstract

Weather Prediction plays a major role in the field of prediction. If the assessment of weather cannot be selected properly, the prediction information becomes incorrect and this will create lots of the problem in the real life. Therefore it is needed to select an appropriate technique for the purpose of forecasting. A lot of soft computing model is being used in various application systems for the purpose of forecasting. The performance of fuzzy logic, neural network in the field of soft computing, is being examined by the authors for the purpose of assessment on the basis of average error. Here an effort is being used to select the proper soft computing technique to predict the futuristic annual average Temperature of India. Initially, the concepts of least square base linear equation, exponential have been applied to optimize the error the concept of soft computing model will be used for the further enhance of the error. Moreover, the same concept has been applied on the tested data to select the optimality of the model.

Keywords: Fuzzy Logic, Soft Computing, Least Square Base Linear Equation