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| 020 | _a9783319262932 | ||
| 040 | _aES-MaUEC | ||
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_aQ342 _b.S564 2016 |
|
| 082 | 0 | 4 | _a006.3 |
| 100 | 1 |
_aSingh, Pritpal. _997961 _0Local |
|
| 245 | 1 | 0 |
_aApplications of Soft Computing in Time Series Forecasting : _bSimulation and Modeling Techniques _cby Pritpal Singh |
| 250 | _a1st ed. | ||
| 260 |
_aCham _bSpringer International Publishing _c2016 |
||
| 300 |
_a1 recurso en línea (XXI, 158 páginas) _b24 ilustraciones, 14 ilustraciones en color |
||
| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aStudies in Fuzziness and Soft Computing _x1434-9922 _v330 |
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| 520 | 3 | _aThis book reports on an in-depth study of fuzzy time series (FTS) modeling. It reviews and summarizes previous research work in FTS modeling and also provides a brief introduction to other soft-computing techniques, such as artificial neural networks (ANNs), rough sets (RS) and evolutionary computing (EC), focusing on how these techniques can be integrated into different phases of the FTS modeling approach. In particular, the book describes novel methods resulting from the hybridization of FTS modeling approaches with neural networks and particle swarm optimization. It also demonstrates how a new ANN-based model can be successfully applied in the context of predicting Indian summer monsoon rainfall. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to fuzzy time series�modeling, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government organizations. �. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, asignarmaterias , EBSPRINGER | ||
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_aInteligencia artificial _0comprobar BNE19900997218 _2embne _9413115 |
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| 650 | 0 | 7 |
_aSimulación por ordenador _0 _2embne _9147541 |
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_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-26293-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 901 | _ai9783319262932 | ||
| 907 |
_a.b12944695 _b10-10-17 _c21-11-16 |
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