Ant colony optimization and crazy particle swarm optimization for support vector support machine classification on high-dimensional dataset

Author:

Firdausanti Neni Alya,Irhamah ,Aritsugi Masayoshi,Kuswanto Heri

Publisher

AIP Publishing

Reference16 articles.

1. Y. Li, G. Wang, H. Chen, L. Shi, and L. Qin, “An Ant Colony Optimization Based Dimension Reduction Method for High-Dimensional Datasets,” in Journal of Bionic Engineering (Elsevier Limited and Science Press, 2013), pp. 231–241.

2. M. Lee and C. To, “Comparison of Support Vector Machine and Back Propaganda Neural Network in Evaluating the Enterprise Financial Distress,” in International Journal of Artificial & Application, (2010), pp. 31–43.

3. H. Alwan and K. Ku-Muhamud, “Optimizing Support Vector Machine Parameters Using Continuous Ant Colony Optimization,” in research gate, (2012), pp. 164–169.

4. L. Brezocnik, I. Fister, and C. Podgorelec, “Swarm Intelligence Algorithms for Feature Selection: A Review,” in Applied Science (MDPI, 2018), pp. 1–31.

5. S. Wan and S.H. Chang, “Combined Particle Swarm Optimization and Linear Discriminant Analysis for Landslide Image Classification: Application to a Case Study in Taiwan,” in Environ EarchSci, (2014).

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