Title :
Neural network model for the automated control of springback in rebars
Author :
Dunstan, P.S. ; Ranjithan, S.R. ; Bernold, Leonhard E.
Author_Institution :
Washington Univ., Seattle, WA, USA
fDate :
8/1/1996 12:00:00 AM
Abstract :
Automating the process of cold-bending steel reinforcing bars for concrete structures can save time, prevent serious injuries, and increase productivity. Neural network models can play a key role in the adaptive control of this process
Keywords :
adaptive control; civil engineering computing; neurocontrollers; steel; adaptive control; cold-bending; concrete structures; neural network model; rebars; springback; steel reinforcing bars; Adaptive control; Automatic control; Biological materials; Intelligent networks; Machine learning; Multi-layer neural network; Neural networks; Programmable control; Torque; Working environment noise;
Journal_Title :
IEEE Expert
