Solving the PMC-Based System-Level Fault Diagnosis Problem Using Hopfield Neural Networks

2011 ◽  
Author(s):  
Mourad Elhadef
Keyword(s):  
Neural Networks ◽  
Fault Diagnosis ◽  
Hopfield Neural Networks ◽  
System Level

Fault Diagnosis with Missing Data Based on Hopfield Neural Networks

2016 ◽  
pp. 37-46 ◽  
Author(s):  
Raquelita Torres Cabeza ◽  
Egly Barrero Viciedo ◽  
Alberto Prieto-Moreno ◽  
Valery Moreno Vega
Keyword(s):  
Neural Networks ◽  
Fault Diagnosis ◽  
Missing Data ◽  
Hopfield Neural Networks

High capacity for the Hopfield neural networks

2002 ◽  
Author(s):  
Chang-Jiu Chen ◽  
J.Y. Cheung ◽  
A.L. Haque
Keyword(s):  
Neural Networks ◽  
High Capacity ◽  
Hopfield Neural Networks

scholarly journals Inequalities and pth moment exponential stability of impulsive delayed Hopfield neural networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yutian Zhang ◽  
Guici Chen ◽  
Qi Luo
Keyword(s):  
Neural Networks ◽  
Lyapunov Function ◽  
Exponential Stability ◽  
Hopfield Neural Networks ◽  
New Method ◽  
Integral Inequalities ◽  
Delay Function ◽  
Pth Moment Exponential Stability ◽  
Moment Exponential Stability

AbstractIn this paper, the pth moment exponential stability for a class of impulsive delayed Hopfield neural networks is investigated. Some concise algebraic criteria are provided by a new method concerned with impulsive integral inequalities. Our discussion neither requires a complicated Lyapunov function nor the differentiability of the delay function. In addition, we also summarize a new result on the exponential stability of a class of impulsive integral inequalities. Finally, one example is given to illustrate the effectiveness of the obtained results.

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