NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS

R.Akila; S.Ramadevi

NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS

July 2017

Vol-3, Issue-4

Paper ID: 6183

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Mathematics

Keywords

neural network LMI(linear matrix inequality) discrete-time neural networks time-dependent discrete recurrent neural network

Abstract

Neural networks are being used to solve all kinds of problems from a wide range of disciplines. The topic is highly interdisciplinary in nature, and so it is extremely difficult to develop an introductory and comprehensive treatise on the subject in a short manuscript. An LMI(linear matrix inequality) approach and an embedding technique are employed to derive some sufficient conditions for the global exponential stability of discrete-time neural networks with time-dependent delays and constant parameters. An discrete recurrent neural network described by a set of difference equations may be used to approximate uniformly a state-space trajectory producd by either na discrete time nonlinear system or a continuous function on a closed discrete-time interval.

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Author Information

#	Name	Institute / Affiliation
1	R.Akila	Vivekanandha college of Arts and Sciences For Women (Autonomous), Tamilnadu, India.
2	S.Ramadevi	Vivekanandha College of Arts and Sciences For Women (Autonomous), Tamilnadu, India.

How to Cite

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APA Style

R.Akila & S.Ramadevi (2017). NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education, 3(4), 1487-1493.

MLA Style

R.Akila, and S.Ramadevi. "NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, 2017, pp. 1487-1493.

IEEE Style

R.Akila and S.Ramadevi, "NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, pp. 1487-1493, 2017.

Vancouver Style

R.Akila, S.Ramadevi. NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(4):1487-1493.

Harvard Style

R.Akila & S.Ramadevi (2017) 'NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS', International Journal of Advance Research and Innovative Ideas In Education, 3(4), pp. 1487-1493.

Chicago Style

R.Akila and S.Ramadevi. "NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 1487-1493.

Turabian Style

R.Akila and S.Ramadevi. "NEURAL NETWORKS USING CONVERGENCE OF DISCRETE-TIME NEURAL NETWORKS WITH DELAYS AND DYNAMIC RECURRENT NEURAL NETWORKS." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 1487-1493.