Application of Neural Network for Home Security System

  • Turgay Ibrikci
  • V. Krishnamurthi
Conference paper


In this study, the application of Artificial Neural Network (ANN) for home security system (HSS) is investigated. The HSS consists of a neural network with input, hidden and output layers. The HSS detects the presence of unidentified person in the house and initiates an alarm. It has its own fault-diagnostic algorithm. In case any system component fails, it gives an alarm which is different from the other, to indicate the system failure. The minimum number of nodes, the optimum number of hidden layers, the speed, the accuracy and learning time for back propagation (BP) algorithm [1] are investigated in the present paper.


Neural Network Artificial Neural Network Hide Layer Output Layer Input Layer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    D.E. Rumelthart, Hinton, and R. Willaiams: Parallel Distributed Processing Vol I. Chap. 8. (1990)Google Scholar
  2. 2.
    David L. Bailey and Donna Thompson: Developing Neural Network Applications AI Expert 34 (1990)Google Scholar
  3. 3.
    David L. Bailey and Donna Thompson: How to Develop Neural Network, AI Expert, June 1990, pp 36–47.Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • Turgay Ibrikci
    • 1
  • V. Krishnamurthi
    • 1
  1. 1.Faculty of Engineering & Archicture., Department of Electrical & Electronics EngineeringCukurova UniversityAdanaTurkey

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