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Neural Computing and Applications

, Volume 21, Issue 1, pp 45–53 | Cite as

Framework of fully integrated hybrid systems

  • A. SantosEmail author
  • J. J. Romero
  • A. Carballal
  • A. Pazos
Original Article
  • 94 Downloads

Abstract

A framework of fully integrated hybrid systems (HSs) is proposed for the development and management of HS which involve databases, advanced user interfaces, symbolic systems, and artificial neural networks. This framework provides a common input–output interface among those HS modules developed on the framework, with a completely two-directional flow control and a highly parallel processing. This integration framework facilitates the incorporation of heterogeneous modules, together with their subsequent management and updating.

Keywords

Advanced user interfaces Artificial neural networks Databases Data mapping Symbolic systems 

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • A. Santos
    • 1
    Email author
  • J. J. Romero
    • 1
  • A. Carballal
    • 1
  • A. Pazos
    • 1
  1. 1.Department of Communications and Information Technologies, School of Computer ScienceA Coruña UniversityA CoruñaSpain

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