A novel nonlinear optimization method for fitting a noisy Gaussian activation function-Reference-Cited by-同舟云学术

A novel nonlinear optimization method for fitting a noisy Gaussian activation function

Published:2021-12-27 Issue: Volume: Page:
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Adaptive Control & Signal

Author:

Li Jimei¹^ORCID,Ding Feng¹²^ORCID,Hayat Tasawar³

Affiliation:

1. Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering Jiangnan University Wuxi People's Republic of China

2. School of Electrical and Electronic Engineering Hubei University of Technology Wuhan People's Republic of China

3. Department of Mathematics King Abdulaziz University Jeddah Saudi Arabia

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acs.3367

Reference87 articles.

1. Functional link neural network approach to solve structural system identification problems

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4. Logish: a new nonlinear nonmonotonic activation function for convolutional neural network;Zhu HG;Neural Comput,2021

5. Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions

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