A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation

Qiao Kang, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary. A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation. In Raju Gottumukkala, Xia Ning, Guozhu Dong, Vijay Raghavan, Srinivas Aluru, George Karypis, Lucio Miele, Xindong Wu, editors, 2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017. pages 812-817, IEEE Computer Society, 2017. [doi]

@inproceedings{KangLAC17,
  title = {A Hybrid Training Algorithm for Recurrent Neural Network Using Particle Swarm Optimization-Based Preprocessing and Temporal Error Aggregation},
  author = {Qiao Kang and Wei-keng Liao and Ankit Agrawal and Alok N. Choudhary},
  year = {2017},
  doi = {10.1109/ICDMW.2017.112},
  url = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2017.112},
  researchr = {https://researchr.org/publication/KangLAC17},
  cites = {0},
  citedby = {0},
  pages = {812-817},
  booktitle = {2017 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2017, New Orleans, LA, USA, November 18-21, 2017},
  editor = {Raju Gottumukkala and Xia Ning and Guozhu Dong and Vijay Raghavan and Srinivas Aluru and George Karypis and Lucio Miele and Xindong Wu},
  publisher = {IEEE Computer Society},
  isbn = {978-1-5386-3800-2},
}