Analysis of Poisson's Ratio Effect on Pavement Layer Moduli Estimation - A Neural Network Based Approach from Non-destructive Testing

Gloria Beltrán, Miguel Romo. Analysis of Poisson's Ratio Effect on Pavement Layer Moduli Estimation - A Neural Network Based Approach from Non-destructive Testing. In Juan Pavón, Néstor D. Duque-Méndez, Rubén Fuentes-Fernández, editors, Advances in Artificial Intelligence - IBERAMIA 2012 - 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings. Volume 7637 of Lecture Notes in Computer Science, pages 371-380, Springer, 2012. [doi]

@inproceedings{BeltranR12,
  title = {Analysis of Poisson's Ratio Effect on Pavement Layer Moduli Estimation - A Neural Network Based Approach from Non-destructive Testing},
  author = {Gloria Beltrán and Miguel Romo},
  year = {2012},
  doi = {10.1007/978-3-642-34654-5_38},
  url = {http://dx.doi.org/10.1007/978-3-642-34654-5_38},
  researchr = {https://researchr.org/publication/BeltranR12},
  cites = {0},
  citedby = {0},
  pages = {371-380},
  booktitle = {Advances in Artificial Intelligence - IBERAMIA 2012 - 13th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 13-16, 2012. Proceedings},
  editor = {Juan Pavón and Néstor D. Duque-Méndez and Rubén Fuentes-Fernández},
  volume = {7637},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-34653-8},
}