INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
An Approach for Prediction of Weather System by Using Back propagation Neural Network
Authors Name:
Y.Md.Riyazuddin
, Dr K Krishna Reddy , Dr S Mahaboob Basha
Unique Id:
IJSDR1707016
Published In:
Volume 2 Issue 7, July-2017
Abstract:
This paper utilizes artificial neural networks for temperature forecasting. Our study based on back propagation neural network which is trained and tested based on dataset provided. In formulating the ANN-based predictive model; three-layer network has been constructed. Suitable air temperature predictions can provide farmers and producers with valuable information when they face decisions regarding the use of mitigating technologies such as orchard heaters or irrigation. The research presented in this thesis developed artificial neural networks models for the prediction of air temperature. In this paper, back propagation neural network is used for temperature forecasting. The technical milestones, that have been achieved by the researchers in this field has been reviewed and presented in this paper. From the past decades there are various models are developed for weather forecasting using artificial neural network, and by using soft computing, which are discussed in this paper. Artificial neural networks and the back propagation algorithm used for temperature forecasting in general are explained.
Keywords:
Cite Article:
"An Approach for Prediction of Weather System by Using Back propagation Neural Network", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 7, page no.117 - 121, July-2017, Available :http://www.ijsdr.org/papers/IJSDR1707016.pdf
Downloads:
000337074
Publication Details:
Published Paper ID: IJSDR1707016
Registration ID:170606
Published In: Volume 2 Issue 7, July-2017
DOI (Digital Object Identifier):
Page No: 117 - 121
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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