Research for Group Technology of Components Based on Elman Neural Network

Group technology has been used extensively in the manufacturing field for decades after it generated. In this paper a revolving body components grouping system based on neural network is set up. It introduces the appliance about Elman neural network in the components classify, and connects group technology and neural network, presents a components grouping method based on neural network. By analyzing the representative revolving body components, a characteristic group form is framed, and the pickup characteristic code name of the components is acted as the input of neural network, the group number and the similarity factor are acted as the output of neural network. Finally, by the repeated training of the network, it can prove that the components group method of this paper is accurate, high-effective and practicable. The research of this kind of grouping method has widely fore grounded.