Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study

Rafael V. Borges, Artur S. d Avila Garcez, Luís C. Lamb. Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study. In Konstantinos I. Diamantaras, Wlodek Duch, Lazaros S. Iliadis, editors, Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II. Volume 6353 of Lecture Notes in Computer Science, pages 104-113, Springer, 2010. [doi]

@inproceedings{BorgesGL10,
  title = {Representing, Learning and Extracting Temporal Knowledge from Neural Networks: A Case Study},
  author = {Rafael V. Borges and Artur S. d Avila Garcez and Luís C. Lamb},
  year = {2010},
  doi = {10.1007/978-3-642-15822-3_13},
  url = {http://dx.doi.org/10.1007/978-3-642-15822-3_13},
  tags = {case study, C++},
  researchr = {https://researchr.org/publication/BorgesGL10},
  cites = {0},
  citedby = {0},
  pages = {104-113},
  booktitle = {Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II},
  editor = {Konstantinos I. Diamantaras and Wlodek Duch and Lazaros S. Iliadis},
  volume = {6353},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-15821-6},
}