A Survey on Weather Forecasting and the Proposed Approach

Autori

  • Parag P. Kadu affiliated to sant gadge baba amravati university.
  • K. P. Wagh affiliated to sant gadge baba amravati university.
  • P. N. Chatur affiliated to sant gadge baba amravati university.

Parole chiave:

Artificial neural network, data mining, soft computing, Statistica software, wireless technology

Abstract

Accurate weather forecasting has been one of the most challenging problems around the world. The technical milestones that have been achieved by the researchers in this field have been reviewed and presented in this survey paper. Since the past decades, various models have been developed for weather forecasting using artificial neural network, data mining and by using soft computing, which are discussed in this paper. This paper also contains the proposed approach of artificial neural network that uses analysis of data and learns from it for future predictions of temperature, with the combination of wireless technology and Statistica software..Keywords: Artificial neural network, data mining, soft computing, Statistica software, wireless technology

Biografie autore

  • Parag P. Kadu, affiliated to sant gadge baba amravati university.
    M.Tech II Year,Computer Science And Engineering,Goverment College Of Engineering,Amravati-444604.
  • K. P. Wagh, affiliated to sant gadge baba amravati university.
    Asst.Prof.,Computer Science And Engineering,Goverment College Of Engineering,Amravati-444604.
  • P. N. Chatur, affiliated to sant gadge baba amravati university.
    Head of Department of Computer Science And Engineering,Goverment College Of Engineering,Amravati-444604.

Dowloads

Pubblicato

2012-12-08

Fascicolo

V. 3 N. 3 (2012)

Sezione

Case Study

Licenza

Declaration and Copyright Transfer Form

(to be completed by authors)

 

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

·         I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.

·         I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).

·         I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.

·          I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. _______________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.

.