Synchronization of Fractional Stochastic Neural Networks: An Event Triggered Control Approach

NN play a significant role in the machine learning and deep learning domains that include pattern recognition, computer-vision and so on. However, understanding the theoretical properties of neural networks will helps to deliver the user-desired performance in such practical applications. In the lit...

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Bibliographic Details
Published in:	IEEE transactions on systems, man, and cybernetics. Systems Vol. 54; no. 2; pp. 1 - 11
Main Authors:	Subramaniam, Sasikala, Lim, Chee Peng, Rajan, Rakkiyappan, Mani, Prakash
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial neural networks Biological neural networks Computer vision Data transmission Deep learning Delay effects Delays Differential equations Disturbances Event triggered control fractional stochastic disturbances linear matrix inequalities Machine learning Mathematical models Motion stability Neural networks Neurons Parameter sensitivity Pattern recognition Sensitivity analysis Stability analysis Stochastic processes Synchronism Synchronization
ISSN:	2168-2216, 2168-2232
Online Access:	Get full text
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