Skip to main content
SpringerLink
Log in

Study of the Fuzzy Nerve Network Control for Smart Home Controller

  • Conference paper
Information and Management Engineering (ICCIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 236))

Included in the following conference series:

  • 1925 Accesses

Abstract

The controlling problem of smart home system exists nonlinear and indefiniteness. The whole system smart disassemble into intelligent comprehensive of every family subsystem. Individual subsystems of control actions by the nodes to implement. The method has been put forward that we can transform the smart home controller using the technology of the fuzzy neural network. It solved that the home controller how to get self-learned and self-adaptive capacity and intelligence analyze-judge capacity, satisfy domestic demands of the intelligent control and have better economy and practicality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Peng, X.j., Li, R.: Resea rch on Emb edd ed Smart Home Control System Based on ARM. Low Voltage Apparatus (18), 42–45 (2009)

    Google Scholar 

  2. Wang, K.: The Study of Smart Home System. Xi’an University of Science and Technology, XI’AN (2005)

    Google Scholar 

  3. Zhang, Z.-q.: Research and Realization of Smart Home System in double-deck House. Xi’an University of Science and Technology, XI’AN (2006)

    Google Scholar 

  4. Gao, Q., Qin, W., Ni, Z.F., Huang, W.X., Chen, S.M., Yao, Q.: Design and Realization of Electrical Appliances and Home Monitor System Base on GSM. Journal of Zhejiang Sci-techUniversity 26, 391–394 (2009)

    Google Scholar 

  5. Douligeris, C.: Intelligent Home Systems. IEEE Communications Magazine (October 1993)

    Google Scholar 

  6. Cao, W.: Design and Implementation of a Street Lamp Monitoringand Management System with SMS/GPRS/USSD and GIS. Acta Scientiarum Naturalium Universitatis Neimongol 40, 722–727 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Nanchang Institute of Technology, Nanchang, China

    GaoHua Liao & JunMei Xi

Authors
  1. GaoHua Liao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. JunMei Xi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Nanchang University, 235 Nanjing Donglu, 330047, Nanchang, China

    Min Zhu

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liao, G., Xi, J. (2011). Study of the Fuzzy Nerve Network Control for Smart Home Controller. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 236. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24097-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24097-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24096-6

  • Online ISBN: 978-3-642-24097-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation