Harmony Search Time Series Forecasting
Version 1.0.0 (429 ko) par
S. Muhammad Hossein Mousavi
Harmony Search Time Series Forecasting
%% Harmony Search Time Series Forecasting - Created in 15 Jan 2022 by Seyed Muhammad Hossein Mousavi
% This code uses Harmony Search evolutionary algorithm in order to forecast
% desired steps into the future based on input vector of time series data.
% You can load your data vector and play with parameters based on your
% data and system.
% ------------------------------------------------
% Feel free to contact me if you find any problem using the code:
% Author: SeyedMuhammadHosseinMousavi
% My Email: mosavi.a.i.buali@gmail.com
% My Google Scholar: https://scholar.google.com/citations?user=PtvQvAQAAAAJ&hl=en
% My GitHub: https://github.com/SeyedMuhammadHosseinMousavi?tab=repositories
% My ORCID: https://orcid.org/0000-0001-6906-2152
% My Scopus: https://www.scopus.com/authid/detail.uri?authorId=57193122985
% My MathWorks: https://www.mathworks.com/matlabcentral/profile/authors/9763916#
% my RG: https://www.researchgate.net/profile/Seyed-Mousavi-17
% ------------------------------------------------
% Related Paper For Cite:
% Mousavi, Seyed Muhammad Hossein, S. Younes MiriNezhad, and Mir Hossein Dezfoulian. "Galaxy gravity optimization (GGO) an algorithm for optimization, inspired by comets life cycle." 2017 Artificial Intelligence and Signal Processing Conference (AISP). IEEE, 2017.
% Hope it help you, enjoy the code and wish me luck :)
Citation pour cette source
S. Muhammad Hossein Mousavi (2024). Harmony Search Time Series Forecasting (https://www.mathworks.com/matlabcentral/fileexchange/105255-harmony-search-time-series-forecasting), MATLAB Central File Exchange. Récupéré le .
Compatibilité avec les versions de MATLAB
Créé avec
R2019a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS LinuxTags
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Version | Publié le | Notes de version | |
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1.0.0 |