Real-time prediction and control of three-dimensional unsteady separated flow fields using neural networks

1994 ◽  
Author(s):  
William Faller ◽  
Scott Schreck ◽  
Marvin Luttges
Keyword(s):  
Neural Networks ◽  
Real Time ◽  
Three Dimensional ◽  
Separated Flow ◽  
Flow Fields ◽  
Time Prediction ◽  
Prediction And Control ◽  
And Control ◽  
Unsteady Separated Flow

NeSS: a Simulation Environment for Behavioral Design of Neural Networks for Prediction and Control

1999 ◽  
Vol 6 (3) ◽  
pp. 223-232
Author(s):  
Cesare Alippi ◽  
Fabio Casamatta ◽  
Leonardo Furlan ◽  
Andrea Pelagotti ◽  
Vincenzo Piuri
Keyword(s):  
Neural Networks ◽  
Simulation Environment ◽  
Behavioral Design ◽  
Prediction And Control ◽  
And Control

scholarly journals Morphological Analysis for Three-Dimensional Chaotic Delay Neural Networks

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Yusong Lu ◽  
Ricai Luo ◽  
Yongfu Zou
Keyword(s):  
Neural Networks ◽  
Chaotic System ◽  
Morphological Analysis ◽  
Chaotic Behavior ◽  
Three Dimensional ◽  
Hopfield Neural Network ◽  
Coefficient Matrix ◽  
Initial Value ◽  
The Neural Networks ◽  
And Control

The study focuses on the chaotic behavior of a three-dimensional Hopfield neural network with time delay. We find the aspecific coefficient matrix and the initial value condition of the system and use MATLAB software to draw its graph. The result shows that their shape is very similar to the figure of Roslerʼs chaotic system. Furthermore, we analyzed the divergence, the eigenvalue of the Jacobian matrix for the equilibrium point, and the Lyapunov exponent of the system. These properties prove that the system does have chaotic behavior. This result not only confirms that there is chaos in the neural networks but also that the chaotic characteristics of the system are very similar to those of Roslerʼs chaotic system under certain conditions. This discovery provides useful information that can be applied to other aspects of chaotic Hopfield neural networks, such as chaotic synchronization and control.

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