Title :
Artificial Neural Network for the Design of Metal Rubber
Author :
Meng, Zhang ; Xiao-rui, Zhang ; Zhen-san, Zhang
Author_Institution :
Dept. of Weapon Eng., Naval Univ. of Eng., Wuhan, China
Abstract :
Metal rubber is a new type of structure function material made of tensioned metal wires. Although it has excellent performance, it is not widely used for its complex characteristics. Previous attempts are mostly based on mathematical model. In this paper, artificial neural network (ANN) is introduced as an alternative to mathematical model. The result from ANN showed a good agreement with the experiment data. Now ANNs have been successfully used in our process of design and are helpful to reduce the cost.
Keywords :
neural nets; production engineering computing; rubber; wires; artificial neural network; mathematical model; metal rubber; structure function material; tensioned metal wires; Artificial neural networks; Costs; Design engineering; Inorganic materials; Mathematical model; Nonlinear equations; Process design; Rubber; Weapons; Wires; Artificial Neural Network; Design; Metal Rubber;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.517
