Swarm Intelligence Algorithm Based on Plant Root System in 1D Biomedical Signal Feature Engineering to Improve Classification Accuracy
The classification accuracy of one-dimensional (1D) biomedical signals is limited due to the lack of independence of the extracted features. To address this shortcoming, the study applies a swarm intelligence algorithm based on plant root systems (PRSs) to feature engineering. Some basic features o...
Main Authors: | Rui Gong, Kazunori Hase |
---|---|
Format: | Article |
Language: | English |
Published: |
Taiwan Association of Engineering and Technology Innovation
2023-06-01
|
Series: | Advances in Technology Innovation |
Subjects: | |
Online Access: | https://ojs.imeti.org/index.php/AITI/article/view/11169 |
Similar Items
-
Swarm Intelligence Algorithms for Feature Selection: A Review
by: Lucija Brezočnik, et al.
Published: (2018-09-01) -
Comparing Swarm Intelligence Algorithms for Dimension Reduction in Machine Learning
by: Gabriella Kicska, et al.
Published: (2021-08-01) -
Two-stage feature selection for classification of gene expression data based on an improved Salp Swarm Algorithm
by: Xiwen Qin, et al.
Published: (2022-09-01) -
An Efficient Binary Sand Cat Swarm Optimization for Feature Selection in High-Dimensional Biomedical Data
by: Elnaz Pashaei
Published: (2023-09-01) -
Novel Improved Salp Swarm Algorithm: An Application for Feature Selection
by: Miodrag Zivkovic, et al.
Published: (2022-02-01)