Application of Neuro-Statistic Model on a Time Series Data

The output of some physical problem is dependent on huge number of time dependent parameters. But many of them are not significant or they are highly correlated with others parameters. Some parameters which are play significant role in the problem and give the information which is mandatory and not correlated with the others. So, same result can be produced by fewer parameters instead of considering all parameters. In this paper, an effect has been made to find the significant environmental parameters in production of mustard plant using principal component and factor analysis. Finally, artificial neural network has been applied on highly significant parameters to predict the production of mustard plant at maturity.