Skip to main content
SpringerLink
Log in

The modular construction of dynamic nets

  • Conference Contributions
  • Published:
Neural Computing & Applications Aims and scope Submit manuscript

Conclusion

I think that the examples I have given raise many questions: nodal function, learning to learn, and modularisation. It is clear that much work lies ahead.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Shepard RN. Stimulus and response generalisation: Deduction of the generalisation gradient from a trace model. Psychol Rev 1958; 65: 242–56

    Google Scholar 

  2. Shepard RN. Towards a universal law of generalisation for psychological science. Science 1987; 237: 1317–1323

    Google Scholar 

  3. Rumelhart DE, McClelland JL. Parallel Distributed Processing — Explorations in the microstructure of cognition. Vol. 1: Foundations. MIT Press, Cambridge, MA, 1986

    Google Scholar 

  4. Giles C, Griffin R, Maxwell T. Encoding geometric invariances in higher order neural networks. Neural Information Processing Systems, American Institute of Physics, New York 1988; 301–9

    Google Scholar 

  5. Chalmers DJ. The evolution of learning: An experiment in genetic connectionism. Proceedings of the Connectionist Models Summer School; 1990; San Marco, CA. Morgan Kaufmann

    Google Scholar 

  6. Giles CL, Sun GZ, Chen HH, Lee YC, Chen D. Higher order recurrent networks and grammatical inference. In: Touretzky DS, editor. Advances in neural information processing 2. New York: Morgan Kaufmann, 1990

    Google Scholar 

  7. Pollack JB. Implications of recursive distributed representations. In: Touretzky DS, editor. Advances in neural information processing 1. New York: Morgan Kaufmann, 1989

    Google Scholar 

  8. Jacobs RA, Jordan ML. A competitive modular connectionist architecture. In: Touretzky DS, editor. Advances in neural information processing 3. New York: Morgan Kaufmann, 1991

    Google Scholar 

  9. Nowlan SJ, Hinton GE. Evaluation of adaptive mixtures of competing experts. In: Touretzky DS, editor. Advances in neural information processing 3. New York: Morgan Kaufmann, 1991

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computing, Imperial College of Science, Technology and Medicine, University of London, 180 Queen's Gate, SW7 2BZ, London

    Antonia J. Jones

Authors
  1. Antonia J. Jones
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jones, A.J. The modular construction of dynamic nets. Neural Comput & Applic 1, 91–95 (1993). https://doi.org/10.1007/BF01411377

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01411377

Keywords

Search

Navigation