Feature selection using binary particle swarm optimization with time varying inertia weight strategies
In this paper, a feature selection approach that based on Binary Particle Swarm Optimization
(PSO) with time varying inertia weight strategies is proposed. Feature Selection is an …
(PSO) with time varying inertia weight strategies is proposed. Feature Selection is an …
Rank based binary particle swarm optimisation for feature selection in classification
Feature selection (FS) is an important and challenging task in machine learning. FS can be
defined as the process of finding the best informative subset of features in order to avoid the …
defined as the process of finding the best informative subset of features in order to avoid the …