Title :
The application of techniques of neural network to product structure analysis of iron and steel corporation
Author :
Xing, Chen ; Xiqin, He ; Wenzhong, Wang ; Huaguang, Zhang ; Xihuai, Yang
Author_Institution :
Northeastern Univ., China
Abstract :
In the past, the method of product structure analysis was based on OLS AutoDregression. By using the techniques of RBF neural network that have the property of the approximation ability and self learning, this paper gives a new method for the product structure analysis of an iron and steel industry
Keywords :
manufacturing data processing; production control; radial basis function networks; steel industry; unsupervised learning; function approximation; iron industry; product structure analysis; radial basis function neural network; self learning; steel industry; Clustering algorithms; Function approximation; Gaussian processes; Helium; Inorganic materials; Iron; Network topology; Neural networks; Radial basis function networks; Steel;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.836204
