The random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. Itâ€¦Â (More)

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2012

2012

- JosÃ© Aguilar, Cristhian Molina
- Neural Processing Letters
- 2012

We propose in this paper an extended model of the random neural networks, whose architecture is multi-feedback. In this case, weâ€¦Â (More)

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Review

2010

Review

2010

- Stelios Timotheou
- Comput. J.
- 2010

The Random Neural Network (RNN) is a recurrent neural network model inspired by the spiking behaviour of biological neuronalâ€¦Â (More)

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2008

2008

- Erol Gelenbe, Stelios Timotheou
- Neural Computation
- 2008

Large-scale distributed systems, such as natural neuronal and artificial systems, have many local interconnections, but theyâ€¦Â (More)

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2008

2008

Large scale distributed systems, such as natural neuronal and artificial systems, have many local interconnections, but oftenâ€¦Â (More)

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2003

2003

This paper presents a novel technique for texture modeling and synthesis using the random neural network (RNN). This technique isâ€¦Â (More)

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Highly Cited

2002

Highly Cited

2002

- Samir Mohamed, Gerardo Rubino
- IEEE Trans. Circuits Syst. Video Techn.
- 2002

An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packetâ€¦Â (More)

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2002

2002

- Erol Gelenbe, Khaled Hussain
- IEEE Trans. Neural Networks
- 2002

Spiked recurrent neural networks with "multiple classes" of signals have been recently introduced by Gelenbe and Fourneau (1999â€¦Â (More)

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2000

2000

- Hossam Abdelbaki, Erol Gelenbe, Said Esmail El-Khamy
- IJCNN
- 2000

This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposedâ€¦Â (More)

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2000

2000

- Aristidis Likas, Andreas Stafylopatis
- European Journal of Operational Research
- 2000

Training in the random neural network (RNN) is generally speciÂ®ed as the minimization of an appropriate error function withâ€¦Â (More)

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1994

1994

- J. Streity, M. Larkumy
- 1994

We consider a randomly connected neural network with linear threshold elements which update in discrete time steps. The two mainâ€¦Â (More)

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