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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Bibliographic Details

Published in:	Engineering letters Vol. 31; no. 2; p. 531
Main Authors:	Yu, Ji-Sheng, Zhang, Sheng-Kai, Wang, Jie-Sheng, Li, Song, Sun, Ji, Wang, Rui
Format:	Journal Article
Language:	English
Published:	Hong Kong International Association of Engineers 23.05.2023
Subjects:	Algorithms Brownian motion Classification Datasets Gas solubility Hyperplanes Kernel functions Optimization Support vector machines Surface defects Swarm intelligence
ISSN:	1816-093X, 1816-0948
Online Access:	Get full text
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