Prediction of the Sound Absorption Performance of Polymer Wool by Using Artificial Neural Networks Model

2014 ◽  
Vol 7 (1) ◽  
pp. 260-269
Author(s):  
Shuming Chen ◽  
Yawei Huang ◽  
Dengfeng Wang ◽  
Dengzhi Peng ◽  
Xuewei Song
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Sound Absorption ◽  
Absorption Performance ◽  
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.

FUTURE OF ARTIFICIAL NEURAL NETWORKS IN SPACE EXPLORATION AND SPACE ENGINEERING

2018 ◽  
pp. 6-11
Author(s):  
Kobiljon Kh. Zoidov ◽  
◽  
Svetlana V. Ponomareva ◽  
Daniel I. Serebryansky ◽  
◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Space Exploration ◽  
Artificial Neural
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