Application of Artificial Neural Network Based on GA-BP Algorithm to Predicting Mechanical Properties of TC4

Abstract:

Article Preview

On the basis of numerous experimental results the effect of heat treatment on mechanical properties of TC4 alloy is studied. A computer model expressing the relationships between heat treatment and mechanical properties has been established with a back propagation feed forword artificial neural network method. The optimization methods based on artificial neural network and the genetic algorithm, using binary system, optimize the weight and threshold by the genetic algorithm. The calculation results show that the model has good learning precision and generalization and it can be used for predicting the mechanical properties of TC4 alloy.

Info:

Periodical:

Advanced Materials Research (Volumes 146-147)

Edited by:

Sihai Jiao, Zhengyi Jiang and Jinglong Bu

Pages:

1698-1701

DOI:

10.4028/www.scientific.net/AMR.146-147.1698

Citation:

Z. Z. Hou and Y. L. Du, "Application of Artificial Neural Network Based on GA-BP Algorithm to Predicting Mechanical Properties of TC4", Advanced Materials Research, Vols. 146-147, pp. 1698-1701, 2011

Online since:

October 2010

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.