Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory

Lei Si, Zhongbin Wang, Xin-hua Liu, Chao Tan, Jing Xu, Kehong Zheng. Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory. Sensors, 15(11):28772-28795, 2015. [doi]

@article{SiWLTXZ15,
  title = {Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory},
  author = {Lei Si and Zhongbin Wang and Xin-hua Liu and Chao Tan and Jing Xu and Kehong Zheng},
  year = {2015},
  doi = {10.3390/s151128772},
  url = {http://dx.doi.org/10.3390/s151128772},
  researchr = {https://researchr.org/publication/SiWLTXZ15},
  cites = {0},
  citedby = {0},
  journal = {Sensors},
  volume = {15},
  number = {11},
  pages = {28772-28795},
}