Representation and extrapolation in multilayer perceptrons.

Full Abstract

To give an adequate explanation of cognition and perform certain practical tasks, connectionist systems must be able to extrapolate. This work explores the relationship between input representation and extrapolation, using simulations of multilayer perceptrons trained to model the identity function. It has been discovered that representation has a marked effect on extrapolation.

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Author information

Author/s: Browne, Antony (A);

Affiliation: School of Computing, Information Systems and Mathematics, London Guildhall University, London UK. abrowne@lgu.ac.uk

Journal and publication information

Publication Type: Journal Article

Journal: Neural computation (Neural Comput), published in United States. (Language: eng)

Reference: 2002-Jul; vol 14 (issue 7) : pp 1739-54

Dates: Created 2002/06/24; Completed 2002/07/16; Revised 2004/11/17;

PMID: 12079554, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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