GA Based Artificial Neural Network for Weather Forecasting
Version 1.0.1 (10.2 MB) by
Youssef ELMIR
Matlab script that uses GA based ANN to forecast weather using weather data of any place in the world form https://rp5.ru
As one of artificial intelligence technologies, Artificial Neural Networks (ANNs) are widely used as an alternative solution for ill-defined problems. Training using examples make it possible to deal with noisy and replace missed data. Nonlinear problems can be solved using artificial neural networks and, once trained, forecasting.
This work investigates the application of Genetic Algorithm (GA) based ANN in weather forecasting and compares the whole performance with the one of an ordinary ANN where both of them have been used for the prediction of air temperature, atmospheric pressure, relative humidity and mean wind speed. The proposed system uses ANN with GA based generated weights.
The obtained results using this model are good enough to prove that the proposed system can be used for modelling in other fields of renewable energy problems.
Cite As
Elmir, Y. (2018). Weather Forecasting Using Genetic Algorithm Based Artificial Neural Network in South West of Algeria (Béchar). In: Hatti, M. (eds) Artificial Intelligence in Renewable Energetic Systems. ICAIRES 2017. Lecture Notes in Networks and Systems, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-319-73192-6_28
MATLAB Release Compatibility
Created with
R2013b
Compatible with any release
Platform Compatibility
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| Version | Published | Release Notes | |
|---|---|---|---|
| 1.0.1 | See release notes for this release on GitHub: https://github.com/elmiryoussef/wfgnann/releases/tag/v1.0.1 |
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| 1.0.0 |
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.
