A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition

Bibliographic Details
Main Author: Heywood, M. I.
Published: University of Essex 1994
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241204
id ndltd-bl.uk-oai-ethos.bl.uk-241204
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-2412042015-03-19T07:54:59ZA practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognitionHeywood, M. I.1994003.5Feedforward neural networksUniversity of Essexhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241204Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 003.5
Feedforward neural networks
spellingShingle 003.5
Feedforward neural networks
Heywood, M. I.
A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
author Heywood, M. I.
author_facet Heywood, M. I.
author_sort Heywood, M. I.
title A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
title_short A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
title_full A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
title_fullStr A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
title_full_unstemmed A practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
title_sort practical framework for training sigma-pi neural networks with an application in rotation invariant pattern recognition
publisher University of Essex
publishDate 1994
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241204
work_keys_str_mv AT heywoodmi apracticalframeworkfortrainingsigmapineuralnetworkswithanapplicationinrotationinvariantpatternrecognition
AT heywoodmi practicalframeworkfortrainingsigmapineuralnetworkswithanapplicationinrotationinvariantpatternrecognition
_version_ 1716759689586278400