Support Vector Machine Optimized by Henry Gas Solubility Optimization Algorithm and Archimedes Optimization Algorithm to Solve Data Classification Problems

Support vector machine (SVM) is the minimization of structural risk to construct a better hyperplane to maximize the distance between the hyperplane and the sample points on both sides of hyperplane. Two improved physics-wise swarm intelligence optimization algorithms (Henry gas solubility optimizat...

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Vydané v:	Engineering letters Ročník 31; číslo 2; s. 531
Hlavní autori:	Yu, Ji-Sheng, Zhang, Sheng-Kai, Wang, Jie-Sheng, Li, Song, Sun, Ji, Wang, Rui
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Hong Kong International Association of Engineers 23.05.2023
Predmet:	Algorithms Brownian motion Classification Datasets Gas solubility Hyperplanes Kernel functions Optimization Support vector machines Surface defects Swarm intelligence
ISSN:	1816-093X, 1816-0948
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