Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier

Juan Manuel Moreno, Jordi Madrenas, Joan Cabestany, J. R. Laúna. Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier. In José Mira, Roberto Moreno-Díaz, Joan Cabestany, editors, Biological and Artificial Computation: From Neuroscience to Technology, International Work-Conference on Artificial and Natural Neural Networks, IWANN 97, Lanzarote, Canary Islands, Spain, June 4-6, 1997, Proceedings. Volume 1240 of Lecture Notes in Computer Science, pages 922-931, Springer, 1997.

@inproceedings{MorenoMCL97,
  title = {Using Classical and Evolutive Neural Models in Industrial Applications: A Case Study for an Automatic Coin Classifier},
  author = {Juan Manuel Moreno and Jordi Madrenas and Joan Cabestany and J. R. Laúna},
  year = {1997},
  tags = {case study},
  researchr = {https://researchr.org/publication/MorenoMCL97},
  cites = {0},
  citedby = {0},
  pages = {922-931},
  booktitle = {Biological and Artificial Computation: From Neuroscience to Technology, International Work-Conference on Artificial and Natural Neural Networks, IWANN  97, Lanzarote, Canary Islands, Spain, June 4-6, 1997, Proceedings},
  editor = {José Mira and Roberto Moreno-Díaz and Joan Cabestany},
  volume = {1240},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-63047-3},
}