Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques

Bibliographic Details
Main Author: Darbyshire, Karl James
Published: Leeds Beckett University 2012
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665992
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spelling ndltd-bl.uk-oai-ethos.bl.uk-6659922017-10-04T03:37:31ZReal-time pump scheduling through model identification, utilising neural and hybrid prediction techniquesDarbyshire, Karl James2012621.6Leeds Beckett Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665992Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 621.6
spellingShingle 621.6
Darbyshire, Karl James
Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
author Darbyshire, Karl James
author_facet Darbyshire, Karl James
author_sort Darbyshire, Karl James
title Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
title_short Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
title_full Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
title_fullStr Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
title_full_unstemmed Real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
title_sort real-time pump scheduling through model identification, utilising neural and hybrid prediction techniques
publisher Leeds Beckett University
publishDate 2012
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665992
work_keys_str_mv AT darbyshirekarljames realtimepumpschedulingthroughmodelidentificationutilisingneuralandhybridpredictiontechniques
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