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Specific Sequence Learning by an Adaptable Boolean Neural Network

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Neural Nets WIRN Vietri-01

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

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Abstract

In sequence learning studies we can distinguish two fundamental approaches: general-regularity learning and specific sequence learning. Because it is possible to focus on only one of the two aspects we consider a Boolean neural network achieving specific sequence learning. An adaptable Boolean neural network is described in which time representation is implicit. This means giving the neural network dynamic properties which are responsive to temporal sequences.

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© 2002 Springer-Verlag London Limited

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Lauria, F.E., Prevete, R. (2002). Specific Sequence Learning by an Adaptable Boolean Neural Network. In: Tagliaferri, R., Marinaro, M. (eds) Neural Nets WIRN Vietri-01. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0219-9_10

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  • DOI: https://doi.org/10.1007/978-1-4471-0219-9_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-505-2

  • Online ISBN: 978-1-4471-0219-9

  • eBook Packages: Springer Book Archive

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