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Genetic algorithm for the prediction of estimated scientific data: A case study of temperature measurements

. G.Srinivas Reddy


The scientific data in any experiment is of statistical fluctuations which need to be analysed through the established techniques in order to extract the information. The proposed work in the paper establish to trace out outliers of the data in a statistical trend and the conformation of statistical gaussian distribution. Genetic algorithm is implemented to predict the data, and it is very interesting point to be noted that predicted data by GA technique is in well correlation with raw data with a insignificant statistical deviation which can be conformed through curve fitting technique. The outliers and deviation of Gaussian distribution is also studied by probability plottings of experimental and processed data. 
Keywords: Genetic Algorithm, prediction, temperature, learning algorithm 

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