Application of BP neural network in the control of hydraulic die forging hammer

2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009

Volumn 1, Issue , 2009, Pages 39-41

  Yan, Li ^a   Jianwei, Li ^a   Jun, Liu ^a  

^a HENAN AGRICULTURAL UNIVERSITY   (China)

Author keywords

BP neural network; Forging energy; Hydraulic die forging hammer

Indexed keywords

BP NEURAL NETWORK; BP NEURAL NETWORK MODEL; BP NEURAL NETWORKS; CONTROL PROCESS; DIE FORGING; ESSENTIAL PROBLEMS; NONLINEAR FUNCTION APPROXIMATION; OTHER APPLICATIONS;

COMPUTER SCIENCE; DIES; FORGING MACHINES; FORGINGS; HAMMERS; HYDRAULICS; INTELLIGENT COMPUTING; MATHEMATICAL MODELS; PROCESS CONTROL; TOOLS; UPSETTING (FORMING);

NEURAL NETWORKS;

EID: 71949100057     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2009.17     Document Type: Conference Paper

References (4)

1. Li Yongtang, Du Shiwen, "Research, Development and prospect on the hydraulic forging die hammer" (in Chinese), Chinese Journal of Mechanical Engineering, 2003, 39(11), pp. 43-46.
2. Chen Ming, The model of neural network (in Chinese). Dalian University of Technology Press, Dalian, 1995.
3. Grossberg S, "Nonlinear neural networks: Principles, machines and architectures", Neural Networks, 1988, 1.
4. F. M'Sahli, R. Matlaya, "A neural network model based predictive control approach: application to a semi-batch reactor". The International Journal of Advanced Manufacturing Technology, Volume 26, Numbers 1-2