R-RTRL Based on Recurrent Neural Network with K-Fold Cross-Validation for Multi-step-ahead Prediction Landslide Displacement

Jiejie Chen, Ping Jiang, Zhigang Zeng, Boshan Chen. R-RTRL Based on Recurrent Neural Network with K-Fold Cross-Validation for Multi-step-ahead Prediction Landslide Displacement. In Tingwen Huang, Jiancheng Lv, Changyin Sun, Alexander V. Tuzikov, editors, Advances in Neural Networks - ISNN 2018 - 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25-28, 2018, Proceedings. Volume 10878 of Lecture Notes in Computer Science, pages 468-475, Springer, 2018. [doi]

@inproceedings{ChenJZC18,
  title = {R-RTRL Based on Recurrent Neural Network with K-Fold Cross-Validation for Multi-step-ahead Prediction Landslide Displacement},
  author = {Jiejie Chen and Ping Jiang and Zhigang Zeng and Boshan Chen},
  year = {2018},
  doi = {10.1007/978-3-319-92537-0_54},
  url = {https://doi.org/10.1007/978-3-319-92537-0_54},
  researchr = {https://researchr.org/publication/ChenJZC18},
  cites = {0},
  citedby = {0},
  pages = {468-475},
  booktitle = {Advances in Neural Networks - ISNN 2018 - 15th International Symposium on Neural Networks, ISNN 2018, Minsk, Belarus, June 25-28, 2018, Proceedings},
  editor = {Tingwen Huang and Jiancheng Lv and Changyin Sun and Alexander V. Tuzikov},
  volume = {10878},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-92537-0},
}