Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach

Liting Han, James F. Peters, Sheela Ramanna, R. Zhai. Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach. In Ning Zhong, Andrzej Skowron, Setsuo Ohsuga, editors, New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, 7th International Workshop, RSFDGrC 99, Yamaguchi, Japan, November 9-11, 1999, Proceedings. Volume 1711 of Lecture Notes in Computer Science, pages 47-54, Springer, 1999.

@inproceedings{HanPRZ99,
  title = {Classifying Faults in High Voltage Power Systems: A Rough-Fuzzy Neural Computational Approach},
  author = {Liting Han and James F. Peters and Sheela Ramanna and R. Zhai},
  year = {1999},
  tags = {systematic-approach},
  researchr = {https://researchr.org/publication/HanPRZ99},
  cites = {0},
  citedby = {0},
  pages = {47-54},
  booktitle = {New Directions in Rough Sets, Data Mining, and Granular-Soft Computing, 7th International Workshop, RSFDGrC  99, Yamaguchi, Japan, November 9-11, 1999, Proceedings},
  editor = {Ning Zhong and Andrzej Skowron and Setsuo Ohsuga},
  volume = {1711},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-66645-1},
}