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Lotka-Volterra Recurrent Neural Networks with Delays

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Convergence Analysis of Recurrent Neural Networks

Part of the book series: Network Theory and Applications ((NETA,volume 13))

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Abstract

The Lotka-Volterra model of RNNs was first proposed in [62]. Derived from conventional membrane dynamics of competing neurons, it has found successful applications in winner-take-all, winner-share-all and k-winner-take-all problems, see [15, 16, 62]. Due to the application potential of this class of neural networks, it is necessary and useful to study its general dynamic properties.

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© 2004 Springer Science+Business Media Dordrecht

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Yi, Z., Tan, K.K. (2004). Lotka-Volterra Recurrent Neural Networks with Delays. In: Convergence Analysis of Recurrent Neural Networks. Network Theory and Applications, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3819-3_5

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  • DOI: https://doi.org/10.1007/978-1-4757-3819-3_5

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-3821-6

  • Online ISBN: 978-1-4757-3819-3

  • eBook Packages: Springer Book Archive

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