• DocumentCode
    1939403
  • Title

    Application of Artificial Neural Network in Intelligent Building

  • Author

    Hang, Ju ; Tian, Jin-Xin ; Lin, Huang-Gui

  • Author_Institution
    Harbin Eng. Univ., Harbin
  • Volume
    7
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    4215
  • Lastpage
    4220
  • Abstract
    Intelligent Buildings (IB) has not been adopted as quickly and widely as expected. One of the reasons for this is the lack of information and technology support to IB subsystem involved. This paper redefines the concept and connotation of IB, analyzes the influence of ANN on the development of IB, analyses many subsystems of IB which are time-variant nonlinearity complex system, discusses the role of learning in IB control systems, and further elaborates on the application of ANN in the construction of system model, designing control, and the intelligent air-conditioning. Based on the above issues, this paper constructs a system model of IB. Some applications of ANN technology and fuzzy control in IB and the design of intelligent controlling system are discussed. The proposed model will be helpful to solve the existing problems in intelligent building.
  • Keywords
    building management systems; control system CAD; fuzzy control; intelligent control; neurocontrollers; nonlinear control systems; time-varying systems; artificial neural network; fuzzy control; intelligent building control system; time-variant nonlinearity complex system; Artificial intelligence; Artificial neural networks; Buildings; Control system synthesis; Fuzzy control; Intelligent control; Intelligent networks; Intelligent structures; Intelligent systems; Nonlinear control systems; Artificial neural network; Intelligent building; Intelligent control system; Signals value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370886
  • Filename
    4370886