
	Journal of Applied Sciences
	Year: 2013 \| Volume: 13 \| Issue: 6 \| Page No.: 934-938 DOI: 10.3923/jas.2013.934.938

The Performance Study of Metal Rubber Based on Neural Network

Bing Wang and Xiaoli Wang

Abstract: Coefficients of relationship of metal rubber were studied by Artificial Neural Network (ANN) as an alternative to mathematical model. Artificial neural network was introduced and how to predict design model of rubber metal was discussed. Artificial neural network parameters were chosen. Through parameter identification of experimental data of metal rubber, neural network models inputs were obtained in five cases, including: density, diameter of wired, external radius of metal rubber, internal radius of metal rubber and height. The result from ANN showed a good agree internal radius cement with the experiment data. Now ANN has been successfully used in our process of design and is helpful to reduce the cost.

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How to cite this article:

Bing Wang and Xiaoli Wang, 2013. The Performance Study of Metal Rubber Based on Neural Network. Journal of Applied Sciences, 13: 934-938.

DOI: 10.3923/jas.2013.934.938

URL: https://scialert.net/abstract/?doi=jas.2013.934.938

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