The burgeoning research in the fields of statistical has given rise to numerous weather prediction models. But the problem of accurately predicting or forecasting the weather still persists. Numerical weather prediction is taking the existing numerical data on weather conditions and applying machine learning algorithms on it to forecast the weather. 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 selection of an appropriate technique for the purpose of forecasting is needed. Here the effort is to select the soft computing technique properly for the prediction of the futuristic annual average Temperature of India. Initially, the concepts of least square base linear equation, exponential, asymptotic , curvilinear , logarithm have been applied to optimize the error and 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 predicted model.

Soft Computing, Least Square Base Linear Equation, Weather prediction

[1] International Journal of Applied Evolutionary Computation (IJAEC), Vol. 8 No. 3 pp. 13-52, 2017 ACM Index.
[2] G . Purkait and D.P Singh, “An effort to optimize the error using statistical and soft computing methodologies" , Journal of Applied Computer Science & Artificial Intelligence Vol .1 No. 1, pp. 15-20, 2017.
31] D.P Singh, “ A Modified Bio Inspired BAT algorithm," International Journal of Applied Metaheuristic Computing (IJAMC), Vol. 9 No. 1,pp. 60-77, 2018. Scopus Index
[4] D. P., J. P. Choudhury and M. De, “An Enhance DE algorithm for analysis in data set”, International Journal of Data Science (IJDS), 2016 (Accepted).
[5] Dharmpal Singh, Abhishek Banerjee, Gopal Purkait , “Assessment of Heart DiseaseTypes Using Clustering Techniques Under the Domain of Data Mining”, International Journal of Artificial Intelligence and Knowledge Discovery, Vol.6 Issue 03 pp. 10-16, Print ISSN: 2231-2021 e-ISSN: 2231-0312.
[6] D. P. Singh, S. Sahana, SK Saddam Ahmed , "A Comparative Study to Assess the Crohn’s Diseasetype using Statistical and Fuzzy Logic Methodology", International Journal of Computer Sciences and Engineering, Volume-04, Issue-06, Page No (41-46), Aug -2016, E-ISSN: 2347-2693
[7] D. P. Singh, J. P. Choudhury and M. De, “An effort to select a preferable meta heuristic model for knowledge discovery in Data mining”, International Journal of mataheuristics, Vol. 4 No. 1, pp.57-90, September, 2015. 1755-2184, ISSN print: 1755-2176 DBLP Index
[8] Sk. Saddam and D. P.Singh, “Genotype based classification of Crohn’s disease using various BPN training algorithms”, International Journal of Artificial Intelligence and Knowledge Discovery, Vol. 5 No. 2, pp.22-29, July, 2015, Print ISSN: 2231-2021 e-ISSN: 2231-0312.
[9] D. P. Singh, J. P. Choudhury and M. De, “A modified ACO for classification on different data set” International Journal of Computer Application, Vol.123, No. 6, pp-39-52, August 2015, ISSN 0975-8887..
[10] D. P. Singh, J. P. Choudhury and M. De, “An Effort to Compare the Clustering Technique on Different Data Set Based On Distance Measure Function in the Domain of Data Mining”, International Journal of Artificial Intelligence and Knowledge Discovery, Vol. 5, No. 1, pp. 1-8,January, 2015, Print ISSN: 2231-2021 e-ISSN: 2231-0312.
[11] D. P. Singh, J. P. Choudhury and M. De, “A Comparative Study to Select a Soft Computing Model for Developing the Knowledge Base of Data mining with Association Rule Formation by Factor Analysis”, International Journal of Artificial Intelligence and Knowledge Discovery, Vol. 3, No. 3, pp.18-23, October, 2013, Print ISSN: 2231-2021 e-ISSN: 2231-0312.
[12] D. P. Singh, J. P. Choudhury and M. De, “An Effort to Developing the Knowledge Base in Data Mining by Factor Analysis and Soft Computing Methodology”, International Journal of Scientific & Engineering Research (IJSER), Vol. 4, No. 9, pp. 1912-1923, September, 2013, ISSN 2229-5518.
[13] D. P. Singh, J. P. Choudhury and M. De, “A comparative study on the performance of Fuzzy Logic, Bayesian Logic and neural network towards Decision Making” International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 4, No. 2, pp. 205-216, April, 2012. SSN online: 1755-8069 ISSN print: 1755-8050, Scopus Index
[14] D. P. Singh, J. P. Choudhury and M. De, “A Comparative Study to Select a Soft Computing Model for Knowledge Discovery in Data Mining”, International Journal of Artificial Intelligence and Knowledge Discovery, Vol. 2, No. 2, pp. 6-19, April, 2012.
[15] D. P. Singh, J. P. Choudhury and M. De, “ A Comparative Study on the performance of Soft Computing models in the domain of Data Mining,” International Journal of Advancements in Computer Science and Information Technology, Vol. 1, No. 1, pp. 35-49, September, 2011, ISSN 2277-9140.
[16] D. P. Singh, J. P. Choudhury and M. De, “Optimization of fruit quantity by different types of cluster technique”, Journal of Computer Sciences, Punjab, Vol. 9, No.1, pp. 17-28, June-July, 2011, ISSN 0973-4058.
[17] D. P. Singh, J. P. Choudhury and M. De, “Performance measurement of Soft Computing models based on Residual Analysis”, International Journal for Applied Engineering and Research, Vol. 6, No. 5, Delhi, India, pp. 823-832, Jan-July, 2011, Print ISSN 0973-4562. Online ISSN 1087-1090. Scopus Index
[18] D. P. Singh, J. P. Choudhury and M. De, “Optimization of Fruit Quantity by comparison between Statistical Model and Fuzzy Logic by Bayesian Net work”, PCTE, Journal of Computer Sciences, Vol. 8, No.1, Punjab, pp. 91-95, June-July, 2010.
[19] D. P. Singh, J. P. Choudhury and M. De, “Prediction Based on Statistical and Fuzzy Logic Membership Function”, PCTE, Journal of Computer Sciences, Vol. 8, No. 1, Punjab, pp. 86-90 , June-July, 2010.
[20] D.P. Singh, J. P. Choudhury and M. De, “Performance Measurement of Neural Net work Model Considering Various Membership Functions under Fuzzy Logic”, International Journal of Computer and Engineering, Vol. 1, No. 2, pp. 1-5, 2010, ISSN-0976-9587.
[21] D. P. Singh, J. P. Choudhury, “Assessment of Exported Mango Quantity by Soft Computing Model”, International Journal of Information Technology and Knowledge Management, Kurukshetra University, Vol. 2, No. 2, pp. 393-395, June-July, 2009, ISSN : 0973-4414.
[22] A. Roy, S. Kundu , J. Bhattacharya , D. Singh , S. Sahana, Ira Nath, “Assessment of Exported Tea Quantity by Soft Computing Model”, International Journal of Computer Sciences and Engineering, Vol.-7, Special Issue-18, May 2019 E-ISSN: 2347-2693.