Heuristically optimized RBF neural model for the control of section weights in stretch blow moulding

@article{Deng2012HeuristicallyOR,
  title={Heuristically optimized RBF neural model for the control of section weights in stretch blow moulding},
  author={Jing Deng and Ziqi Yang and Kang Li and Gary Menary and Eileen Harkin-Jones},
  journal={Proceedings of 2012 UKACC International Conference on Control},
  year={2012},
  pages={24-29}
}
The injection stretch-blow Moulding (ISBM) process is typically used to manufacture PET containers for the beverage and consumer goods industry. The process is somehow complex and users often have to heavily rely on trial and error methods to setup and control it. In this paper, a novel identification method based on a radial basis function (RBF) network… CONTINUE READING