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.
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References
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)
Wang, K.: The Study of Smart Home System. Xi’an University of Science and Technology, XI’AN (2005)
Zhang, Z.-q.: Research and Realization of Smart Home System in double-deck House. Xi’an University of Science and Technology, XI’AN (2006)
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)
Douligeris, C.: Intelligent Home Systems. IEEE Communications Magazine (October 1993)
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)
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© 2011 Springer-Verlag Berlin Heidelberg
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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
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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
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