External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Using Least Squares Support Vector Machine and Polynomial Partial Least Squares Method Quantitative Analysis of Gases in Mines

Feng Zhang, Xiaojun Tang, Angxin Tong, Bin Wang, Leilei Xi, Wei Qiu. Using Least Squares Support Vector Machine and Polynomial Partial Least Squares Method Quantitative Analysis of Gases in Mines. In 2019 IEEE 5th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), Washington, DC, USA, May 27-29, 2019. pages 138-143, IEEE, 2019. [doi]

Authors

Feng Zhang

This author has not been identified. Look up 'Feng Zhang' in Google

Xiaojun Tang

This author has not been identified. Look up 'Xiaojun Tang' in Google

Angxin Tong

This author has not been identified. Look up 'Angxin Tong' in Google

Bin Wang

This author has not been identified. Look up 'Bin Wang' in Google

Leilei Xi

This author has not been identified. Look up 'Leilei Xi' in Google

Wei Qiu

This author has not been identified. Look up 'Wei Qiu' in Google
runs on