title: Representation and extrapolation in multilayer perceptrons.
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.
authors.affiliation: School of Computing, Information Systems and Mathematics, London Guildhall University, London UK. abrowne@lgu.ac.uk
authors.forename: Antony
authors.initials: A
authors.lastname: Browne
mesh_terms: D003071:Cognition; D003198:Computer Simulation; D006801:Humans; D008960:Models, Psychological; D016571:Neural Networks, Computer; D013850:Thinking