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• W2304531936 startingPage "253" @default.
• W2304531936 abstract "Evolving connectionist systems (ECoSs) are a family of constructive artificial neural network algorithms that were first proposed by Kasabov in 1998, where ldquoevolvingrdquo in this context means ldquochanging over time,rdquo rather than evolving through simulated evolution. A decade on the number of ECoS algorithms and the problems to which they have been applied have multiplied. This paper reviews the current state of the art in the field of ECoS networks via a substantial literature review. It reviews: (1) the motivations for ECoS; (2) the major ECoS algorithms in use; (3) previously existing constructive algorithms that are similar to ECoS; (4) empirical evaluations of ECoS networks over benchmark datasets; and (5) applications of ECoS to real-world problems. The paper ends with some suggestions of future directions of research into ECoS networks." @default.
• W2304531936 created "2016-06-24" @default.
• W2304531936 creator A5066388349 @default.
• W2304531936 date "2009-05-01" @default.
• W2304531936 modified "2023-10-09" @default.
• W2304531936 title "A Decade of Kasabov's Evolving Connectionist Systems: A Review" @default.
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• W2304531936 doi "https://doi.org/10.1109/tsmcc.2008.2012254" @default.
• W2304531936 hasPublicationYear "2009" @default.
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