Dynamic system simulation model and algorithm based on artificial neural networks

2012 ◽  
Author(s):  
Xiujian Lv ◽  
Yongsheng Jia ◽  
Mingyuan Liu
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Dynamic System ◽  
Simulation Model ◽  
System Simulation ◽  
Artificial Neural

scholarly journals Numerical Simulation for the Sound Absorption Properties of Ceramic Resonators

Fibers ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 77
Author(s):  
Giuseppe Ciaburro ◽  
Gino Iannace
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Simulation Model ◽  
Sound Absorption ◽  
Ceramic Materials ◽  
Acoustic Behavior ◽  
Absorption Properties ◽  
Acoustic Resonators ◽  
Absorption Performance ◽  
Artificial Neural

This work reports the results of experimental measurements of the sound absorption coefficient of ceramic materials using the principle of acoustic resonators. Subsequently, the values obtained from the measurements were used to train a simulation model of the acoustic behavior of the analyzed material based on artificial neural networks. The possible applications of sound-absorbing materials made with ceramic can derive from aesthetic or architectural needs or from functional needs, as ceramic is a fireproof material resistant to high temperatures. The results returned by the simulation model based on the artificial neural networks algorithm are particularly significant. This result suggests the adoption of this technology to find the finest possible configuration that allows the best sound absorption performance of the material.

scholarly journals Neural Networks in Mechanical System Simulation, Identification, and Assessment

1993 ◽  
Vol 1 (2) ◽  
pp. 177-199 ◽  
Author(s):  
Thomas L. Paez
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
System Design ◽  
Mechanical System ◽  
System Simulation ◽  
Design Analysis ◽  
Control Problems ◽  
Artificial Neural ◽  
And Control

Artificial neural networks (ANNs) have been used in the solution of a variety of mechanical system design, analysis, and control problems. This paper describes the ANNs that have been most frequently used in mechanical system applications. It also summarizes some of the applications that have been developed for ANNs, and briefly reviews the literature where descriptions of the developments and applications can be found. Some recommendations regarding ANN applications in mechanical system simulation, identification, and assessment are provided.

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