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An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Asssemblies

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Neural Nets WIRN VIETRI-98

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

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Abstract

We present the seven node Boolean neural subnet playing the assembly role so allowing us to implement an Hebbian rule in the Boolean net obtained by connecting them.

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References

  1. Lauria, F. E. — On some sufficient conditions for the Caianiello-Hebb transform convergence — Rend. Acc. Sc. Fis. e Mat., Napoli, Serie IV-Vol. LXII (1995) 7–42.

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  2. Lauria, F. E., M. Sette, S. Visco — Adaptable Boolean neural networks-Fridericiana Scientia, Liguori (Napoli) (1997) 212. ISBN 88-207-2676-9. http://www.na.infn.it/Gener/cyber/nnet.htm

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  3. Rumelhart, D. E., J. L. McClelland and the PDP Research Group — Parallel distributed processing. Vol I Foundations-MIT Press, Cambridge (Mass.) USA (1986) 547 + xx.

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  4. Caianiello, E. R. — Outline of a theory of thought processes and thinking machines-J. Theor. Biol. 2 (1961) 204–235.

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  5. Lauria F. E., M. Sette — “Teaching macros through program execution examples” E. R. Caianiello ed. “Neural nets WIRN Vietri-92” World Sc. (Singapore), (1992) 204–209.

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Author information

Authors and Affiliations

  1. Dipartimento di Scienze Fisiche dell’ Università di Napoli & Istituto Nazionale di Fisica della Materia, Mostra D’ Oltremare, Pad. 19, I-80125, Naples, Italy (EU)

    F. E. Lauria, R. Prevete, M. Milo & S. Visco

Authors
  1. F. E. Lauria
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  2. R. Prevete
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  3. M. Milo
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  4. S. Visco
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Editor information

Editors and Affiliations

  1. Dipartimento di Scienze Fisiche “E.R. Caianiello”, Università di Salerno, 84081, Baronissi (SA), Italy

    Maria Marinaro

  2. Dipartimento di Informatica ed Applicazioni “R.M. Capocelli”, Università di Salerno, 84081, Baronissi (SA), Italy

    Roberto Tagliaferri

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© 1999 Springer-Verlag London Limited

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Lauria, F.E., Prevete, R., Milo, M., Visco, S. (1999). An Adaptable Boolean Neural Net Obtained by Connecting Seven Node Asssemblies. In: Marinaro, M., Tagliaferri, R. (eds) Neural Nets WIRN VIETRI-98. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0811-5_39

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  • DOI: https://doi.org/10.1007/978-1-4471-0811-5_39

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1208-2

  • Online ISBN: 978-1-4471-0811-5

  • eBook Packages: Springer Book Archive

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