%% 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. 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: [email protected]
% 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 :)
-
Notifications
You must be signed in to change notification settings - Fork 0
Cultural Harmony Learning Algorithm
License
SeyedMuhammadHosseinMousavi/Cultural-Harmony-Learning-Algorithm
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
Cultural Harmony Learning Algorithm
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published