A Novel Fuzzy Hypersphere Neural Network Classifier Using Class Specific Clustering for Robust Pattern Classification-Reference-Cited by-同舟云学术

A Novel Fuzzy Hypersphere Neural Network Classifier Using Class Specific Clustering for Robust Pattern Classification

Published:2024 Issue: Volume:12 Page:124209-124219
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Mane Deepak¹^ORCID,Kulkarni Arun²,Pradhan Biswajeet³^ORCID,Gite Shilpa⁴,Vasant Bidwe Ranjeet⁴^ORCID,Lee Chang-Wook⁵^ORCID,Alamri Abdullah⁶

Affiliation:

1. Vishwakarma Institute of Technology, Pune, Maharashtra, India

2. Thadomal Shahani Engineering College, Mumbai, Maharashtra, India

3. Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, Australia

4. Symbiosis Institute of Technology, Symbiosis International (Deemed University) (SIU), Pune Campus, Pune, Maharashtra, India

5. Department of Science Education, Kangwon National University, Chuncheon, South Korea

6. Department of Geology and Geophysics, College of Science, King Saud University, Riyadh, Saudi Arabia

Funder

Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology (IT), University of Technology Sydney

National Research Foundation of Korea (NRF) Grant

Korea Government [Ministry of Science and ICT (MSIT)]

Researchers Supporting Project, King Saud University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10664531.pdf?arnumber=10664531

Reference42 articles.

1. High-Speed Face Recognition Based on Discrete Cosine Transform and RBF Neural Networks

2. Multi-variable functional interpolation and adaptive networks;Lowe;Complex Syst.,1988

3. Two fast and accurate heuristic RBF learning rules for data classification

4. An improved maximum spread algorithm with application to complex-valued RBF neural networks