Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm

Ping Zhou, Mingjie Li, Dongwei Guo, Hong Wang, Tianyou Chai. Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm. Neurocomputing, 238:24-32, 2017. [doi]

@article{ZhouLGWC17,
  title = {Modeling for output fiber length distribution of refining process using wavelet neural networks trained by NSGA II and gradient based two-stage hybrid algorithm},
  author = {Ping Zhou and Mingjie Li and Dongwei Guo and Hong Wang and Tianyou Chai},
  year = {2017},
  doi = {10.1016/j.neucom.2017.01.033},
  url = {http://dx.doi.org/10.1016/j.neucom.2017.01.033},
  researchr = {https://researchr.org/publication/ZhouLGWC17},
  cites = {0},
  citedby = {0},
  journal = {Neurocomputing},
  volume = {238},
  pages = {24-32},
}