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Evolving Connectionist Systems (ECOS)

  • Lubica Benuskova
  • Nikola Kasabov
Chapter
Part of the Topics in Biomedical Engineering. International Book Series book series (ITBE)

Abstract

This chapter extends Chap. 4 and presents another type of ANNs that evolve their structure and functionality over time from incoming data and learn rules in an adaptive mode. They are called ECOS (Kasabov 2002b, Kasabov 2006). ECOS learn local models allocated to clusters of data that can be modified and created in an adaptive mode, incrementally. Several ECOS models are presented along with examples of their use to model brain and gene data.

Keywords

Fuzzy Rule Fuzzy Output Fuzzy Input Gene Data Modeling Rule Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science + Business Media, LLC 2007

Authors and Affiliations

  • Lubica Benuskova
    • 1
  • Nikola Kasabov
    • 1
  1. 1.Knowledge Engineering and Discovery Research InstituteAUTAucklandNew Zealand

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