Chinese Journal of Intelligent Science and Technology ›› 2020, Vol. 2 ›› Issue (2): 107-115.doi: 10.11959/j.issn.2096-6652.202012

• Surveys and Prospectives • Previous Articles     Next Articles

The application of deep learning in data-driven modeling of process industries

Xiaofeng YUAN,Yalin WANG(),Chunhua YANG,Weihua GUI   

  1. School of Automation,Central South University,Changsha 410083,China
  • Revised:2020-05-13 Online:2020-06-20 Published:2020-07-14
  • Supported by:
    The National Key Research and Development Program of China(2018YFB1701100);The National Key Research and Development Program of China(2018AAA0101603);The National Natural Science Foundation of China(61703440);The National Natural Science Foundation of China(61590921);The 111 Project(B17048);Innovation Driven Program of Central South University(2018CX012);The Natural Science Foundation of Hunan Province of China(2018JJ3687)


Deep learning is an artificial intelligence technique developed in recent years.Compared with traditional shallow models,deep learning has a strong ability of feature representation and function fitting.It can extract hierarchical features from massive data,which has great potential for data-driven modeling in process industries.Firstly,the history of deep learning was introduced.Then,four widely used deep networks and their applications were introduced in data-driven modeling of process industries.At last,the conclusions about deep learning and its applications in process in dustries were given.

Key words: process industries, deep learning, data analytics, data modeling

CLC Number: 

No Suggested Reading articles found!