A Novel Binary Particle Swarm Optimization Algorithm for Feature Selection-Reference-Cited by-同舟云学术

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A Novel Binary Particle Swarm Optimization Algorithm for Feature Selection

Published:2024-05-25 Issue: Volume:50 Page:4386-4391
ISSN:
Container-title:2024 36th Chinese Control and Decision Conference (CCDC)
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Author:

Xiao Xing¹,Na Xiaodong²,Zu Zhensheng³,Ma Hongwei¹,Ren Weijie¹

Affiliation:

1. Harbin Engineering University,College of Intelligent Systems Science and Engineering,Harbin,China

2. Technology Company Limited,China Mobile (Hangzhou) Information,Hangzhou,China

3. Zunhua Power Supply Branch of State Grid Jibei Electric Power Co., Ltd.,Tangshan,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587298/10587321/10588008.pdf?arnumber=10588008

Reference15 articles.

1. Feature Selection: A Data Perspective;Li;ACM Comput. Surv,2017

2. Active deep neural network features selection for segmentation and recognition of brain tumors using MRI images

3. A survey on swarm intelligence approaches to feature selection in data mining

4. Multivariate Time Series Predictor With Parameter Optimization and Feature Selection Based on Modified Binary Salp Swarm Algorithm

5. Heterogeneous Feature Models and Feature Selection Applied to Bearing Fault Diagnosis

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