Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks

Bibliographic Details
Main Author: Robinson, Clare
Published: University of Sheffield 1998
Subjects:
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300079
id ndltd-bl.uk-oai-ethos.bl.uk-300079
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-3000792015-03-19T06:55:03ZMulti-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networksRobinson, Clare1998629.8Control systems & control theoryUniversity of Sheffieldhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300079Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 629.8
Control systems & control theory
spellingShingle 629.8
Control systems & control theory
Robinson, Clare
Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
author Robinson, Clare
author_facet Robinson, Clare
author_sort Robinson, Clare
title Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
title_short Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
title_full Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
title_fullStr Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
title_full_unstemmed Multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
title_sort multi-objective optimisation of polynomial models for time series prediction using genetic algorithms and neural networks
publisher University of Sheffield
publishDate 1998
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300079
work_keys_str_mv AT robinsonclare multiobjectiveoptimisationofpolynomialmodelsfortimeseriespredictionusinggeneticalgorithmsandneuralnetworks
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