| 000 | 02748nam a22005535i 4500 | ||
|---|---|---|---|
| 001 | 978-3-319-73329-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220801221422.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 180204s2018 sz | s |||| 0|eng d | ||
| 020 |
_a9783319733296 _9978-3-319-73329-6 |
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| 024 | 7 |
_a10.1007/978-3-319-73329-6 _2doi |
|
| 050 | 4 | _aQ342 | |
| 072 | 7 |
_aUYQ _2bicssc |
|
| 072 | 7 |
_aTEC009000 _2bisacsh |
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| 072 | 7 |
_aUYQ _2thema |
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| 082 | 0 | 4 |
_a006.3 _223 |
| 100 | 1 |
_aBaúto, João. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _955907 |
|
| 245 | 1 | 0 |
_aParallel Genetic Algorithms for Financial Pattern Discovery Using GPUs _h[electronic resource] / _cby João Baúto, Rui Neves, Nuno Horta. |
| 250 | _a1st ed. 2018. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
| 300 |
_aXIV, 91 p. 50 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 |
|
| 505 | 0 | _aIntroduction -- State-of-the-Art in Pattern Recognition Techniques -- SAX/GA CPU Approach -- GPU-accelerated SAX/GA -- Conclusions and Future Work in the Field. | |
| 520 | _aThis Brief presents a study of SAX/GA, an algorithm to optimize market trading strategies, to understand how the sequential implementation of SAX/GA and genetic operators work to optimize possible solutions. This study is later used as the baseline for the development of parallel techniques capable of exploring the identified points of parallelism that simply focus on accelerating the heavy duty fitness function to a full GPU accelerated GA. . | ||
| 650 | 0 |
_aComputational intelligence. _97716 |
|
| 650 | 0 |
_aFinancial engineering. _955908 |
|
| 650 | 0 |
_aSocial sciences—Mathematics. _931863 |
|
| 650 | 1 | 4 |
_aComputational Intelligence. _97716 |
| 650 | 2 | 4 |
_aFinancial Engineering. _955909 |
| 650 | 2 | 4 |
_aMathematics in Business, Economics and Finance. _931864 |
| 700 | 1 |
_aNeves, Rui. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _955910 |
|
| 700 | 1 |
_aHorta, Nuno. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _955911 |
|
| 710 | 2 |
_aSpringerLink (Online service) _955912 |
|
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319733289 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319733302 |
| 830 | 0 |
_aSpringerBriefs in Computational Intelligence, _x2625-3712 _955913 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-73329-6 |
| 912 | _aZDB-2-ENG | ||
| 912 | _aZDB-2-SXE | ||
| 942 | _cEBK | ||
| 999 |
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