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120928s2013 gw | s |||| 0|eng d |
| 020 |
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|a 9783642329890
|9 978-3-642-32989-0
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| 024 |
7 |
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|a 10.1007/978-3-642-32989-0
|2 doi
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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
|c by Antonio Gorgulho, Rui F.M.F. Neves, Nuno C.G. Horta.
|h [electronic resource] /
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| 264 |
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1 |
|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.
|
| 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 |
1 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
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| 505 |
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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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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Finance.
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| 650 |
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4 |
|a Engineering.
|
| 650 |
2 |
4 |
|a Computational Intelligence.
|
| 650 |
2 |
4 |
|a Financial Economics.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
|
| 700 |
1 |
# |
|a Neves, Rui F.M.F.
|e author.
|
| 700 |
1 |
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|a Horta, Nuno C.G.
|e author.
|
| 710 |
2 |
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|a SpringerLink (Online service)
|
| 773 |
0 |
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|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783642329883
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| 830 |
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|a SpringerBriefs in Applied Sciences and Technology,
|x 2191-530X
|
| 856 |
4 |
0 |
|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-32989-0
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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)
|