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02645nam a22005055i 4500 |
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978-3-642-32989-0 |
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DE-He213 |
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20151204141052.0 |
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cr nn 008mamaa |
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120928s2013 gw | s |||| 0|eng d |
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|a 9783642329890
|9 978-3-642-32989-0
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|a 10.1007/978-3-642-32989-0
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Gorgulho, Antonio.
|e author.
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|a Intelligent Financial Portfolio Composition based on Evolutionary Computation Strategies
|h [electronic resource] /
|c by Antonio Gorgulho, Rui F.M.F. Neves, Nuno C.G. Horta.
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| 264 |
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XI, 77 p. 30 illus., 15 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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| 490 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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|a Preface -- Introduction -- Related Work -- Solution’s Architecture -- System Validation -- Conclusions and Future Work -- References -- Appendixes.
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| 520 |
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|a The management of financial portfolios or funds constitutes a widely known problematic in financial markets which normally requires a rigorous analysis in order to select the most profitable assets. This subject is becoming popular among computer scientists which try to adapt known Intelligent Computation techniques to the market’s domain. This book proposes a potential system based on Genetic Algorithms, which aims to manage a financial portfolio by using technical analysis indicators. The results are promising since the approach clearly outperforms the remaining approaches during the recent market crash.
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|a Engineering.
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|a Artificial intelligence.
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|a Computational intelligence.
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|a Macroeconomics.
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|a Engineering.
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| 650 |
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|a Computational Intelligence.
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| 650 |
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|a Macroeconomics/Monetary Economics//Financial Economics.
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| 650 |
2 |
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|a Artificial Intelligence (incl. Robotics).
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| 700 |
1 |
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|a Neves, Rui F.M.F.
|e author.
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| 700 |
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|a Horta, Nuno C.G.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
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|t Springer eBooks
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| 776 |
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|i Printed edition:
|z 9783642329883
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| 830 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-642-32989-0
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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