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Hybrid programming environments

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New Trends in Neural Computation (IWANN 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

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Abstract

Following the emergence of each new “Intelligent” computing technology — expert systems, fuzzy logic, neural networks and genetic algorithms — sophisticated programming environments have been developed to assist application building. Each environment being dedicated to a single intelligent technology. These environments can be classified as: application-oriented — dedicated to a specific application domain; algorithm-oriented — supporting a single algorithm; or general-purpose — comprehensive tool kits for any domain.

However, hybrid applications are now being build combining a number of intelligent techniques. Thus hybrid programming environments are required that allow combination of neural networks and genetic algorithms. This paper briefly reviews programming environments for neural networks, genetic algorithms and hybrid systems, using three of UCL's Esprit projects: Galatea, Papagena and Hansa as case studies.

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Authors and Affiliations

  1. Department of Computer Science, University College London, Gower Street, WC1E 6BT, London, UK

    Philip C. Treleaven & Paulo V. Rocha

Authors
  1. Philip C. Treleaven
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  2. Paulo V. Rocha
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Editor information

José Mira Joan Cabestany Alberto Prieto

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© 1993 Springer-Verlag Berlin Heidelberg

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Treleaven, P.C., Rocha, P.V. (1993). Hybrid programming environments. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_172

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  • DOI: https://doi.org/10.1007/3-540-56798-4_172

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

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