Extreme Learning Machine Soft-Sensor Model With Different Activation Functions on Grinding Process Optimized by Improved Black Hole Algorithm

Extreme Learning Machine Soft-Sensor Model With Different Activation Functions on Grinding Process Optimized by Improved Black Hole Algorithm

Aiming at predicting the key economic and technical indicators (Granularity and Ore content)in the grinding production process, the extreme learning machine (ELM) soft-sensor model with different activation functions on grinding process optimized by improved black hole (BH) algorithm was proposed. B...

Full description

Bibliographic Details
Main Authors: W. Xie, J. S. Wang, C. Xing, S. S. Guo, M. W. Guo, L. F. Zhu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Grinding process
soft-sensor
ELM neural network
black hole algorithm
activation function
Online Access:https://ieeexplore.ieee.org/document/8976126/

Internet

https://ieeexplore.ieee.org/document/8976126/

Similar Items