Skip to main content
SpringerLink
Log in

Neural Network Programming & Applications

  • Conference paper
ESPRIT ’90

  • 61 Accesses

Abstract

ESPRIT II is currently funding two major neural computing projects: Project 2059: PYGMALION and Project 2092: ANNIE.

The objectives of PYGMALION are: firstly to demonstrate to European industry the potential of neural networks for various applications; secondly to develop a European neural network programming system, language and algorithm library; and thirdly to promote exchange of neural computing information in the European research community.

This paper introduces the PYGMALION project, reviews the neural network applications in image & speech processing, and then describes the neural network programming environment.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. New Science Associates Inc., “Neural Networks: Prospects for Commercial Use,” New Sciences Associates. South Norwalk. CT, Spring 1988.

    Google Scholar 

  2. R.P Lippmann, “An Introduction to Computing with Neural Nets,” IEEE ASSP Magazine, pp. 4–22, April 1987.

    Google Scholar 

  3. D.E. RUMELHART, G.E. HINTON, and R.J. WILLIAMS, “323:533–536, (1986),” in Neurocomputing, Foundations of Research,” pp. 675–700.

    Google Scholar 

  4. T. Kohonen, “Self-Organisation and Associative Memory,” Springer-Verlag Berlin, 1984.

    Google Scholar 

  5. B. Gold and R.P. Lippmann, “A Neural Network for isolated word recognition,” IEEE ICASSP. pp. 44 – 47, 1988.

    Google Scholar 

  6. B.W. Kernighan and D.M Ritchie, The C Programming Language Second Edition.Prentice Hall, 1988.

    Google Scholar 

  7. J. Martin, “Fourth-Generation Languages”.Prentice Hall, 1985.

    Google Scholar 

  8. Krause A, Hackbarth H (1989) Scaly artificial neural networks for speaker-independent recognition of isolated words. IEEE ICASSP (S1): 21–24

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Thomson-CSF Division Systemes Electroniques, Canada

    Bernard Angeniol

  2. University College London, UK

    Philip Treleaven

  3. SEL Alcatel, Stuttgart, Germany

    Heidi Hackbarth

Authors
  1. Bernard Angeniol
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Philip Treleaven
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Heidi Hackbarth
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Rights and permissions

Reprints and permissions

Copyright information

© 1990 ECSC, EEC, EAEC, Brussels and Luxembourg

About this paper

Cite this paper

Angeniol, B., Treleaven, P., Hackbarth, H. (1990). Neural Network Programming & Applications. In: ESPRIT ’90. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0705-8_22

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-0705-8_22

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6803-1

  • Online ISBN: 978-94-009-0705-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation