A New Hybrid Approach of Gravitational Search Algorithm with Spiral-Shaped Mechanism-based RBF Neural Network-Reference-Cited by-同舟云学术

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A New Hybrid Approach of Gravitational Search Algorithm with Spiral-Shaped Mechanism-based RBF Neural Network

Published:2021-12-21 Issue: Volume: Page:
ISSN:
Container-title:2021 22nd International Arab Conference on Information Technology (ACIT)
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Author:

Ahmad Zohaib¹,Memon Muhammad Qasim²,Memon Aasma³,Munshi Parveen⁴,Memon Muhammad Jaffar⁵

Affiliation:

1. Beijing University of Technology,School of Electronics and Information Engineering,Beijing,China

2. University of Sufism and Modern Sciences,Department of Computer Science,Bhitshah,Pakistan

3. University of Sindh,Department of Public Administration,Jamshoro,Pakistan

4. University of Sufism and Modern Sciences,Education,Bhitshah,Pakistan

5. Shaheed Zulfiqar Ali Bhutto Campus, Mehran University of Engineering & Technology,Civil Engineering Department,Khairpur Mir’s,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9677036/9677041/09677424.pdf?arnumber=9677424

Reference15 articles.

1. Self-generation RBFNs using evolutional PSO learning;hsuan-ming;Neurocomputing,2006

2. GSA: A Gravitational Search Algorithm

3. The whale optimization algorithm. Advances in engineering software;mirjalili,2016

4. Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection

5. Fast and Efficient Second-Order Method for Training Radial Basis Function Networks

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