Hybrid Neural Systems

Volume 1778 of the series Lecture Notes in Computer Science pp 1-13

An Overview of Hybrid Neural Systems

  • Stefan WermterAffiliated withCentre for Informatics, SCET, University of Sunderland
  • , Ron SunAffiliated withCECS Department, University of Missouri

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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.