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An Overview of Hybrid Neural Systems

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Hybrid Neural Systems (Hybrid Neural Systems 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1778))

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Abstract

This chapter provides an introduction to the field of hybrid neural systems. Hybrid neural systems are computational systems which are based mainly on artificial neural networks but also allow a symbolic interpretation or interaction with symbolic components. In this overview, we will describe recent results of hybrid neural systems. We will give a brief overview of the main methods used, outline the work that is presented here, and provide additional references. We will also highlight some important general issues and trends.

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  1. Centre for Informatics, SCET, University of Sunderland, St. Peter’s Way, Sunderland, SR6 0DD, UK

    Stefan Wermter

  2. CECS Department, University of Missouri, Columbia, MO, 65211-2060, USA

    Ron Sun

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  1. Stefan Wermter
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  1. University of Sunderland, SR6 0DD, Sunderland, United Kingdom

    Stefan Wermter

  2. CECS Department, University of Missouri-Colombia , 201 Engineering Building West, MO 65211-2060, Columbia, USA

    Ron Sun

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Wermter, S., Sun, R. (2000). An Overview of Hybrid Neural Systems. In: Wermter, S., Sun, R. (eds) Hybrid Neural Systems. Hybrid Neural Systems 1998. Lecture Notes in Computer Science(), vol 1778. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10719871_1

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  • DOI: https://doi.org/10.1007/10719871_1

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