Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: individual effects of learning parameters and rules

A. Chukwujekwu Okafor, O. Adetona. Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: individual effects of learning parameters and rules. J. Intelligent Manufacturing, 6(6):389-400, 1995. [doi]

@article{OkaforA95,
  title = {Predicting quality characteristics of end-milled parts based on multi-sensor integration using neural networks: individual effects of learning parameters and rules},
  author = {A. Chukwujekwu Okafor and O. Adetona},
  year = {1995},
  doi = {10.1007/BF00124065},
  url = {http://dx.doi.org/10.1007/BF00124065},
  researchr = {https://researchr.org/publication/OkaforA95},
  cites = {0},
  citedby = {0},
  journal = {J. Intelligent Manufacturing},
  volume = {6},
  number = {6},
  pages = {389-400},
}