---
abstract: 'To give an adequate explanation of cognition and perform certain practical tasks connectionist systems must be able to extrapolate. This work has explored the relationship between input representation and extrapolation, using simulations of multi-layer perceptrons trained to model the identity function. It has been discovered that representation has a marked effect on extrapolation. '
altloc:
- http://www.lgu.ac.uk/~abrowne/abrowne.htm
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creators_id: []
creators_name:
- family: Browne
given: Antony
honourific: ''
lineage: ''
date: 2001-10
date_type: published
datestamp: 2001-11-19
department: ~
dir: disk0/00/00/19/04
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editors_id: []
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eprint_status: archive
eprintid: 1904
fileinfo: /style/images/fileicons/application_postscript.png;/1904/1/NcompExtrap.ps.zip
full_text_status: public
importid: ~
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isbn: ~
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item_issues_comment: []
item_issues_count: 0
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item_issues_status: []
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keywords: 'Extrapolation, distributed representation, localist representation, identity task, circular convolution.'
lastmod: 2011-03-11 08:54:49
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longitude: ~
metadata_visibility: show
note: ~
number: ~
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refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 8
series: ~
source: ~
status_changed: 2007-09-12 16:41:39
subjects:
- cog-psy
- comp-sci-art-intel
- comp-sci-neural-nets
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: Representation and Extrapolation in Multi-Layer Perceptrons
type: preprint
userid: 2152
volume: ~