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The Ethereal
Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems
May 29, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Ahmad Jobran Al-Mahasneh, Sreenatha G. Anavatti, Matthew A. Garratt
arXiv ID
1805.11236
Category
cs.NE: Neural & Evolutionary
Citations
37
Venue
arXiv.org
Last Checked
3 months ago
Abstract
This paper depicts a brief revision of Generalized Regression Neural Networks (GRNN) applications in system identification and control of dynamic systems. In addition, a comparison study between the performance of back-propagation neural networks and GRNN is presented for system identification problems. The results of the comparison confirm that GRNN has shorter training time and higher accuracy than the counterpart back-propagation neural networks.
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