International Journal of Statistics and Applied Mathematics
  • Printed Journal
  • Indexed Journal
  • Refereed Journal
  • Peer Reviewed Journal

International Journal of Statistics and Applied Mathematics

2021, Vol. 6, Issue 5, Part B

Price forecasting of groundnut: By an artificial neural network


Author(s): PM Shivaswamy and KB Murthy

Abstract: The present study analyzes the forecasting of price of groundnut in selected market of Karnataka. The monthly time series data over a period of 20 years from January 2002 to August 2021 were collected from Agricultural Produce Marketing Committees (APMC’s) located at Hiriyur. Different neural networks viz., NN1, NN2, NN3, NN4 and NN5 were carried out to know the best forecasting model during study the period. The results revealed that the R2 value to be 0.97, average absolute error to be 100.91, average means square error was 18672.71 and correlation coefficient was 0.99 in NN2 model as shown in Table 1. The results suggested that NN2 model to be best fit for forecasting of price groundnut in Hiriyur market by considered all the parameters.

Pages: 167-173 | Views: 104 | Downloads: 10

Download Full Article: Click Here
How to cite this article:
PM Shivaswamy, KB Murthy. Price forecasting of groundnut: By an artificial neural network. Int J Stat Appl Math 2021;6(5):167-173.
Call for book chapter
International Journal of Statistics and Applied Mathematics