Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Optimization Algorithm

Wei Xie, Jie-Sheng Wang, Cheng Xing, Sha-Sha Guo, Meng-wei Guo, Ling-feng Zhu. Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Optimization Algorithm. Complexity, 2020, 2020. [doi]

@article{XieWXGGZ20-0,
  title = {Adaptive Hybrid Soft-Sensor Model of Grinding Process Based on Regularized Extreme Learning Machine and Least Squares Support Vector Machine Optimized by Golden Sine Harris Hawk Optimization Algorithm},
  author = {Wei Xie and Jie-Sheng Wang and Cheng Xing and Sha-Sha Guo and Meng-wei Guo and Ling-feng Zhu},
  year = {2020},
  doi = {10.1155/2020/6457517},
  url = {https://doi.org/10.1155/2020/6457517},
  researchr = {https://researchr.org/publication/XieWXGGZ20-0},
  cites = {0},
  citedby = {0},
  journal = {Complexity},
  volume = {2020},
}