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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Vydáno v:	IEEE transactions on systems, man, and cybernetics. Systems Ročník 54; číslo 2; s. 1 - 11
Hlavní autoři:	Subramaniam, Sasikala, Lim, Chee Peng, Rajan, Rakkiyappan, Mani, Prakash
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
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