Feature selection based on Artificial Bee Colony (ABC)



Artificial bee colony algorithm (ABC)  is one of the powerful heuristic algorithms that can find the optimum response for many optimization problems.

In some projects, we need to do a feature selection to find the best features between all available features. There are many reasons for feature selection.

In this video tutorial, I describe a MATLAB project which uses ABC for feature selection.

The model is Support Vector Machine (SVM), but you can use any other model such as Artificial Neural Network, ANFIS, Decision Tree, Bayesian, Regression.







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