Input-Output Stability Of Neural Network With Hysteresis

Authors

  • G.Padmavathi C.R.Rao Advanced Institute of Mathematics Statistics and Computer Science, University of Hyderabad campus,Hyderabad, India.
  • J.Neelima C.R.Rao Advanced Institute of Mathematics Statistics and Computer Science, University of Hyderabad campus,Hyderabad, India
  • P.V.Siva Kumar VNRVignana Jyothi Institute of Engineering & Technology, Bachupally, Nizampet (SO),Hyderabad – 500090, India
  • G.V.Deepika C.R.Rao Advanced Institute of Mathematics Statistics and Computer Science, University of Hyderabad campus,Hyderabad, India.

Keywords:

Hysteresis Neural Networks, Asymptotic stability, Input output stability

Abstract

In this paper analysis of hysteresis neural network towards stability are proposed. In the present research existence, asymptotic stability and Input-output stability of equations as a model for hysteretic neurons are discussed. These neural networks can also be employed for image extraction in a noise interfering channels. We establish sufficient conditions for various stability analysis of this class of neural networks. The result improves the earlier publications due to the Input output analysis of the network with neutral delays.

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Published

2014-01-01

How to Cite

G.Padmavathi, J.Neelima, P.V.Siva Kumar, & G.V.Deepika. (2014). Input-Output Stability Of Neural Network With Hysteresis . International Journal of Computer Information Systems and Industrial Management Applications, 6, 13. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/267

Issue

Section

Original Articles