Analysis of Deep Neural Network for Forecasting of the Turmeric yield in Telangana

Authors

  • Md. Atheeq Sultan Ghori  Research Scholar, Research and development centre, Bharathiar University, Coimbatore, Tamilnadu, India
  • M. Balakrishnan  Principal Scientist, National Academy of Agriculture research Management (NAARM), ICAR Rajendra Nagar, Hyderabad, Telangana, India

Keywords:

Deep Learning.

Abstract

Artificial Neural Network is the mostly used machine learning method for forecasting, in this paper work was carried out on a new technique by introducing Deep neural network concept by increasing the number of hidden layers (two layers) in the existing levenberg Marqardt algorithm and is applied on the data set of the turmeric crop for the forecasting of the accurate yield .to test the algorithm by introducing the two hidden layers the concept of Deep learning was introduced for the forecasting problem to try a new method instead of traditional linear methods and non linear ANN methods.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-09-30

Issue

Volume 3, Issue 7, September-October-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Md. Atheeq Sultan Ghori, M. Balakrishnan, " Analysis of Deep Neural Network for Forecasting of the Turmeric yield in Telangana " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 7, pp.90-93, September-October-2018.