Support Vector Machine to Monitor Greenhouse Plant with Gaussian Loss Function

  • Manfu Yan
  • Qing Zhang
  • Jianhang Zhang
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 344)


In this paper, it applys Gaussian loss function instead of ε-insensitive loss function in a standard SVRM to devise a new model and a new type of support vector classification machine whose optimization problem is easier to solve and has conducted effective test on open data set in order to apply the new algorithm to environment monitoring in greenhouse plants and the monitoring result is better than any other method available.


Support Vector Machine Gaussian Loss Function Greenhouse Plants Environment Monitoring 


  1. 1.
    Deng, N., Tian, Y.: Support Vector Machine – Theory, Algorithm and Expansion, pp. 63–64. Science Press, Beijing (2009)Google Scholar
  2. 2.
    Yan, M.: Support Vector Machines for Classification and Its Application. China Agricultural University, Beijing (2005) (Doctor’s Degree Paper)Google Scholar
  3. 3.
    Deng, N., Tian, Y.: Optimal Method of Data Processing – Support Vector Machine. Science Press, Beijing (2004)Google Scholar
  4. 4.
    Wang, X.: The Problems and solutions of Public Vegetable Base, vol. (3), pp. 1–3 (2010)Google Scholar
  5. 5.
    Zhang, D.: Celery. China Celery (1), 15 (2010)Google Scholar
  6. 6.
    Fung, G., Magansarian, O.L.: Proximal Support Vector Machine Classification. In: KDD 2001, San Francisco, CA USA (2001)Google Scholar
  7. 7.
    Yang, Z., Liu, G.: Principle and Application of Uncertain Support Vector Machine, pp. 148–151. Science Press, Beijing (2007)Google Scholar
  8. 8.
    Vapnik, V., Chapelle, O.: Bounds on Error Expectation for Support Vector Machines. Neural Computation 12(9) (2000)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Manfu Yan
    • 1
  • Qing Zhang
    • 1
  • Jianhang Zhang
    • 2
  1. 1.Department of MathematicsTangshan Teachers’ CollegeTangshanChina
  2. 2.Faculty of EngineeringNational University of SingaporeSingapore

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