Cultural Harmony Learning Algorithm

Combining Cultural Algorithm and Harmony Search for Learning With the Aid of Fuzzy Logic.
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Aktualisiert 19 Jan 2022

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%% Cultural Harmony Learning Algorithm - Created in 18 Jan 2022 by Seyed Muhammad Hossein Mousavi
% Here is all about learning with evolutionary algorithms. Harmony search
% and cultural algorithms are two fast optimization algorithms which their
% result are combined here in order to train inputs for targets in a simple
% dataset. Basically, system starts with making initial fuzzy model and fit
% the outputs based on inputs by harmony search first and then tries to fit the
% harmony search outputs with inputs in the second stage by cultural algorithm. That means we are using both
% evolutionary algorithms to improve the accuracy. System easily could be
% used for regression, classification and other optimization tasks. You can
% use your data and play with parameters.
% ------------------------------------------------
% 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
% ------------------------------------------------
% Hope it help you, enjoy the code and wish me luck :)

Zitieren als

S. Muhammad Hossein Mousavi (2024). Cultural Harmony Learning Algorithm (https://www.mathworks.com/matlabcentral/fileexchange/105405-cultural-harmony-learning-algorithm), MATLAB Central File Exchange. Abgerufen .

Kompatibilität der MATLAB-Version
Erstellt mit R2019a
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Version Veröffentlicht Versionshinweise
1.0.1

Description change.

1.0.0