Comparisons of seven neural network models on traffic control problems in multistage interconnection networks

1993 ◽  
Vol 42 (4) ◽  
pp. 497-501 ◽  
Author(s):  
N. Funabiki ◽  
Y. Takefuji ◽  
K.C. Lee
Keyword(s):  
Neural Network ◽  
Traffic Control ◽  
Interconnection Networks ◽  
Network Models ◽  
Control Problems ◽  
Neural Network Models ◽  
Multistage Interconnection Networks

scholarly journals Stability Analysis of Neural Network Models in Engineering Design

2020 ◽  
Vol 9 (3) ◽  
pp. 1862-1866
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Stability Analysis ◽  
Engineering Design ◽  
Network Models ◽  
Control Problems ◽  
Neural Network Models ◽  
Optimization And Control ◽  
Efficient Criteria ◽  
And Control

In this paper neural networks applications in engineering design are discussed. The question for stability of their steady states is also considered. Some new efficient criteria are proposed. Since neural networks are relevant systems applied in various engineering design tasks, including many optimization and control problems, the results can be useful in design of such systems of diverse interest.

Method of complex copper-zinc ore typification using neural network models

2020 ◽  
Vol 5 ◽  
pp. 140-147 ◽  
Author(s):  
T.N. Aleksandrova ◽  
◽  
E.K. Ushakov ◽  
A.V. Orlova ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Network Models ◽  
Neural Network Models ◽  
Copper Zinc ◽  
Complex Copper

Digital twin of equipment as a basis for the consumer in digital production

2020 ◽  
Keyword(s):  
Neural Network ◽  
Tool Wear ◽  
Chip Formation ◽  
Network Models ◽  
Machining Accuracy ◽  
Neural Network Models ◽  
Digital Twin ◽  
The Neural Network ◽  
Digital Production ◽  
Cyberphysical System

The neural network models series used in the development of an aggregated digital twin of equipment as a cyber-physical system are presented. The twins of machining accuracy, chip formation and tool wear are examined in detail. On their basis, systems for stabilization of the chip formation process during cutting and diagnose of the cutting too wear are developed. Keywords cyberphysical system; neural network model of equipment; big data, digital twin of the chip formation; digital twin of the tool wear; digital twin of nanostructured coating choice

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