Neural Networks Based Local Weather Prediction System

Ján Adamčák, Rudolf Jakša, Ján Liguš

Abstract

In this paper we describe how to build a fully autonomous system for collection, prediction and presentation of single-position meteorological data - the local weather prediction system. By employing nonlinear statistics with neural network predictor on meteorological time-series data we were able to achieve good results for the one-day weather prediction. This novel local statistical approach to weather prediction is different compare to standard methods which are based on the air mass movement modelling. Main objective of this paper is to describe whole system for local weather prediction including technology, software, methods and parameters, and also experimental results.

References

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Paper Citation


in Harvard Style

Adamčák J., Jakša R. and Liguš J. (2014). Neural Networks Based Local Weather Prediction System . In Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014) ISBN 978-989-758-041-3, pages 61-68. DOI: 10.5220/0005132400610068


in Bibtex Style

@conference{anniip14,
author={Ján Adamčák and Rudolf Jakša and Ján Liguš},
title={Neural Networks Based Local Weather Prediction System},
booktitle={Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014)},
year={2014},
pages={61-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005132400610068},
isbn={978-989-758-041-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2014)
TI - Neural Networks Based Local Weather Prediction System
SN - 978-989-758-041-3
AU - Adamčák J.
AU - Jakša R.
AU - Liguš J.
PY - 2014
SP - 61
EP - 68
DO - 10.5220/0005132400610068