Forecasting of Grain Pile Temperature From Meteorological Factors Using machine Learning Article

Duan, Shanshan, Yang, Weidong, Wang, Xuyu et al. (2019). Forecasting of Grain Pile Temperature From Meteorological Factors Using machine Learning . IEEE ACCESS, 7 130721-130733. 10.1109/ACCESS.2019.2940266

Open Access International Collaboration

cited authors

  • Duan, Shanshan; Yang, Weidong; Wang, Xuyu; Mao, Shiwen; Zhang, Yuan

authors

publication date

  • January 1, 2019

published in

keywords

  • ALGORITHM
  • ARTIFICIAL NEURAL-NETWORKS
  • Computer Science
  • Computer Science, Information Systems
  • Engineering
  • Engineering, Electrical & Electronic
  • Food storage
  • HEAT
  • MOISTURE
  • RICE
  • SIMULATION
  • STORAGE
  • SUPPORT VECTOR REGRESSION
  • Science & Technology
  • Technology
  • Telecommunications
  • adaptive boosting
  • machine learning
  • meteorological metrics
  • support vector regression
  • temperature sensors

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 130721

end page

  • 130733

volume

  • 7