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View all- Selvi RBibi K(2023)A Machine Learning-Based Hybrid Approach to Subset Selection Using Binary Ant Colony Optimization FunctionsSN Computer Science10.1007/s42979-023-02251-94:6Online publication date: 8-Nov-2023
One of the significant research problems in pattern recognition is the feature subset selection. It is applied to select a subset of features, from a much larger set, through the elimination of variables that produce noise or strictly correlated with ...
Ant colony optimization (ACO) is an optimization computation inspired by the study of the ant colonies' behavior. This paper presents design and CMOS implementation of the ant colony optimization based algorithm for solving the TSP problem. In order to ...
AbstractThis paper proposes a SVM Support Vector Machine parameter selection based on CPSO Chaotic Particle Swarm Optimization, in order to determine the optimal parameters of the support vector machine quickly and efficiently. SVMs are new methods ...
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