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.
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© 2007 Springer Science + Business Media, LLC
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Benuskova, L., Kasabov, N. (2007). Evolving Connectionist Systems (ECOS). In: Computational Neurogenetic Modeling. Topics in Biomedical Engineering. International Book Series. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-48355-9_5
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DOI: https://doi.org/10.1007/978-0-387-48355-9_5
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-48353-5
Online ISBN: 978-0-387-48355-9
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