Intelligent Multi-Strategy Hybrid Fuzzy K-Nearest Neighbor Using Improved Hybrid Sine Cosine Algorithm

Intelligent Multi-Strategy Hybrid Fuzzy K-Nearest Neighbor Using Improved Hybrid Sine Cosine Algorithm

The sine and cosine algorithm is a new simple and effective population optimization method proposed in recent years that has been studied in many works of literature. Based on the basic principle of the sine and cosine algorithm, this paper fully studies the main parameters affecting the performance...

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Bibliographic Details
Main Authors: Chengfeng Zheng, Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor, Ju Chen, Yueling Guo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Mathematics
Subjects:
meta learning
data classification
hybrid sine and cosine algorithm
Wilcoxon signed rank test
multiple application scenario datasets
Online Access:https://www.mdpi.com/2227-7390/10/18/3368

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https://www.mdpi.com/2227-7390/10/18/3368

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