Developing the Interpretability of Deep Artificial Neural Network on Application Problems

Sheng-An Yang, Meng-Han Yang. Developing the Interpretability of Deep Artificial Neural Network on Application Problems. In 2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019, Kobe, Japan, July 7-10, 2019. pages 1-6, IEEE, 2019. [doi]

@inproceedings{YangY19-35,
  title = {Developing the Interpretability of Deep Artificial Neural Network on Application Problems},
  author = {Sheng-An Yang and Meng-Han Yang},
  year = {2019},
  doi = {10.1109/ICMLC48188.2019.8949230},
  url = {https://doi.org/10.1109/ICMLC48188.2019.8949230},
  researchr = {https://researchr.org/publication/YangY19-35},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {2019 International Conference on Machine Learning and Cybernetics, ICMLC 2019, Kobe, Japan, July 7-10, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-2816-0},
}