Weather Forecasting with Back Propagation of Neural Network using MATLAB

Authors

  • Sri Sankari G  Department of Computer Applications, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India
  • Dr. A. Valarmathi  Department of Computer Applications, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India

Keywords:

Neural Network (NN), Fuzzy, Genetic Algorithm, Back Propagation Algorithm (BP), MATLAB, nntool, Data Training.

Abstract

Neural network is highly related with human brain. Back Propagation Algorithm is the best one to give the output with less error. So Back Propagation algorithm is used for analysis of Weather Forecasting for the month of one month with three sets of data. This paper explains the implementation of the Back propagation Algorithm tool. This paper also explains the graphical output obtained in the process with three data sets and one target data set. MATLAB R2012b is used for the simulation of process.

References

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

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Sri Sankari G, Dr. A. Valarmathi, " Weather Forecasting with Back Propagation of Neural Network using MATLAB, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.1111-1114, March-April-2017.