Modelling a Transformer Oil Regeneration Process Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{Hanselmann:1996:Chemeca,
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author = "K. Hanselmann and G. W. Barton and B. McKay and
M. J. Willis",
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title = "Modelling a Transformer Oil Regeneration Process Using
Genetic Programming",
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booktitle = "Chemeca 96: Excellence in Chemical Engineering;
Proceedings of the 24th Australian and New Zealand
Chemical Engineering Conference and Exhibition",
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year = "1996",
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editor = "Gordon Weiss",
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number = "96/13",
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series = "National conference publication",
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pages = "9--84 [in volume 2]",
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address = "Barton, ACT, Australia",
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publisher_address = "Australia",
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publisher = "Institution of Engineers",
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keywords = "genetic algorithms, genetic programming, Data
processing, Neural networks (Computer science),
Mathematical models, Linear programming, Mathematical
models, Offshore oil industry, Electric insulators and
insulation, Oils",
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ISBN = "0-85825-658-4",
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URL = "http://search.informit.com.au/documentSummary;dn=894065266629714;res=IELENG",
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abstract = "Genetic programming and neural network techniques were
both used to predict the product distribution and yield
of product oil from a reactor in a transformer oil
regeneration process. All reactor models were developed
by fitting laboratory-scale data. For the (relatively)
small experimental data set available, it was found
that the accuracy of the reactor model was
significantly better when using genetic programming
than neural network modelling techniques. A flowsheet
of a pilot-scale version of the process was developed
(using commercial simulation packages) based on the
reactor model obtained using genetic programming, and
the optimal operating conditions determined so as to
give the maximum yield of regenerated transformer
oil.",
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notes = "Broken Sep 2018
http://lorien.ncl.ac.uk/ming/infer/inferrefs.htm (1)
CSIRO Division of Coal and Energy Technology, Lucas
Heights, Sydney, Australia (2) Department of Chemical
Engineering, University of Sydney, Australia (3)
Department of Chemical Engineering, University of
Sydney, Australia (4) Department of Chemical and
Process Engineering, University of Newcastle, UK",
- }
Genetic Programming entries for
K Hanselmann
Geoffrey W Barton
Ben McKay
Mark J Willis
Citations