---

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

G.Srinivas Reddy

---

Download PDF

---

Abstract: 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