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Representation and extrapolation in multilayer perceptrons
1School of Computing, Information Systems and Mathematics, London Guildhall University, London UK. abrowne@lgu.ac.uk
Neural Computation
|June 25, 2002
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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