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Learning regulation functions of metabolic systems by artificial neural networks
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Authors:
Alberto Castellini
University of Verona, Verona, Italy
Vincenzo Manca
University of Verona, Verona, Italy
Published in:
· Proceeding
GECCO '09
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Pages 193-200
ACM
New York, NY
, USA
©2009
table of contents
ISBN: 978-1-60558-325-9
doi>
10.1145/1569901.1569929
2009 Article
Bibliometrics
· Downloads (6 Weeks): 1
· Downloads (12 Months): 32
· Downloads (cumulative): 146
· Citation Count: 6
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Upcoming Conference:
GECCO '13
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Tags:
algorithms
biological modeling
biology and genetics
evolutionary algorithms
experimentation
memetic algorithms
metabolic systems
modeling methodologies
neural networks
nonlinear approximation
optimization
p systems
regression
systems biology
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