Optimization Performance Comparison of Three Different Group Intelligence Algorithms on a SVM for Hyperspectral Imagery Classification
Group intelligence algorithms have been widely used in support vector machine (SVM) parameter optimization due to their obvious characteristics of strong parallel processing ability, fast optimization, and global optimization. However, few studies have made optimization performance comparisons of di...
Main Authors: | Xiufang Zhu, Nan Li, Yaozhong Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/11/6/734 |
Similar Items
-
A Survey of Using Swarm Intelligence Algorithms in IoT
by: Weifeng Sun, et al.
Published: (2020-03-01) -
A modified scout bee for artificial bee colony algorithm and its performance on optimization problems
by: Syahid Anuar, et al.
Published: (2016-10-01) -
Sparse signal reconstruction by swarm intelligence algorithms
by: Murat Emre Erkoç, et al.
Published: (2021-04-01) -
Artificial Flora (AF) Optimization Algorithm
by: Long Cheng, et al.
Published: (2018-02-01) -
Using Hybrid Algorithm to Estimate and Predicate Based on Software Reliability Model
by: Zhen Li, et al.
Published: (2019-01-01)