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Application of Improved BP Neural Network in Hybrid Control Model of Lime Quality Cover

Application of Improved BP Neural Network in Hybrid Control Model of Lime Quality

By: Lingli Zhu and  Tingzhong Wang  
Open Access
|Oct 2019

References

  1. Liu Xiao-li, Wang Shen-tao, Dai Rui, Wei Shi-feng, “On fault diagnosis of net work based on improved particle swarm optimization”, Computer applications and software, vol.28, no.1, (2011), pp.207-209.
  2. Wang Cheng-liang,Pang Xu, Lu ZHi-jian, “Research on hybrid control methods of aluminium reduction on neural network”, Application Research of Computer, vol.27, no.7, (2010), pp.2536-2539.
  3. Li Dao-zhong, ZHang Lei, Wu ZHao-hui, “Test method of physical metallurgical lime, Bei Jing:Metallurgical Industry Press, (2005), pp.1-5.
  4. Chu Hui, Lai Hui-cheng, “An improved back-propagation N algoriythm and its application”, Computer simulation,vol.24, no.4, (2007), pp.75-111.
  5. Shi ZHong-zhi, “Knowledge discovery”,Bei jing:Tsinghua University press, (2002), pp.8-9.
  6. Zhang Lei, Hu Chun, Qian Feng, “Research progress of BP algorithm for local minimum problem”, The industrial control computer, vol.17,no.9, (2004), pp.33-50.
Language: English
Page range: 83 - 86
Published on: Oct 14, 2019
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2019 Lingli Zhu, Tingzhong Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.